Data Engineer (Azure Databricks) in the EU
Andersen Lab
📍 Cyprus
🏢 Data Platform
💼 Employment type not specified
🏠 Work mode not specified
💰 EUR 2800 - 4550 / month
Описание вакансии
Summary
Andersen is hiring a Data Engineer (Azure Databricks) in the EU for a project enhancing a cloud-based data platform and delivering scalable data solutions for drug development.
The customer is an international company operating in the life sciences sector. It focuses on developing and commercializing specialized products and solutions, supported by research, technology, and partnerships across multiple markets.
The project is focused on developing and enhancing data products for scientific and business stakeholders within the drug development domain. It aims to strengthen the cloud-based data platform and delivery capabilities, enabling scalable data processing, reliable analytics, and effective use of data across the organization.
Responsibilities
- Building and maintaining multi-layer pipelines (Landing → Raw → Enriched → Curated) on Azure Databricks (Spark, Delta Lake),
- Orchestrating pipelines via Databricks Jobs / Workflows: dependencies, retries, alerting.
- Implementing batch and API-based data ingestion from multiple source systems.
- Applying schema enforcement and handle schema drift; run data quality checks at ingestion.
- Working hands-on with dbt for pipeline observability and data governance tasks.
- Monitoring job failures, data freshness, and pipeline health against SLA-based delivery targets.
- Setting up alerts, logging, and retry strategies for production pipelines.
- Working within a controlled Dev/Test/Prod environment: access control, audit trails, pipeline documentation, traceability to requirements.
- Contributing to CI/CD and MLOps/AI pipelines on Databricks where the project needs it.
Requirements
- Commercial experience in Data Engineering for 4+ years.
- Strong hands-on experience with Azure Databricks, including Spark and Delta Lake.
- Experience building and maintaining multi-layer data pipelines following the Landing → Raw → Enriched → Curated architecture.
- Experience with schema enforcement and schema-drift handling.
- Ability to implement data quality checks at ingestion.
- Experience orchestrating pipelines using Databricks Jobs / Workflows, including dependencies, retries, alerts, and failure handling.
- Experience with both batch and API-based data ingestion.
- Strong hands-on experience with dbt.
- Ability to monitor job failures, data freshness, and overall pipeline health.
- Experience delivering data in line with defined SLAs.
- Experience implementing alerting, logging, and retry strategies.
- Experience designing and maintaining access control models.
- Understanding of audit trails, data lineage, and end-to-end traceability.
- Experience with logging and evidence generation for audit and compliance purposes.
- Understanding of segregation of duties.
- Experience defining and maintaining data contracts.
- Ability to create and maintain clear pipeline documentation.
- Experience working across controlled Dev, Test, and Prod environments.
- Ability to ensure traceability between requirements and implemented data solutions.
- Level of English – from Upper-Intermediate and above.
Nice to have
- Experience with Databricks.
- Experience with SAP S/4HANA; Microsoft 365; Azure; SharePoint; Enterprise integrations.
- Experience with CI/CD and DevOps practices for data, including Git-based development and branching strategies.
- Experience building and maintaining CI/CD pipelines for data workflows.
- Experience promoting code and data solutions across Dev, Test, and Prod environments.
- Ability to integrate automated testing into deployment pipelines.
- Experience with MLOps and AI pipelines on Databricks.
- Exposure to regulated domains such as GxP, clinical trials, and pharmacovigilance.
- Strong SQL engineering skills, including the development of modular and reusable dbt models, tests, and documentation at Analytics Engineer depth.
- Experience with dimensional data modeling, including star schemas, One Big Table (OBT) approaches, and curated data marts.
- Familiarity with Tabular Editor and metadata-as-code concepts.
- Experience with Power BI dataset design, performance optimization, and maintaining KPI and semantic consistency.
- Experience in the pharmaceutical or biotechnology industry.
Why join us
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- The opportunity to change the project and/or develop expertise in an interesting business domain.
- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and sports compensation, depending on the type of employment.
Join us!
Откликнуться на вакансию
Andersen Lab
📍 Cyprus
🏢 Data Platform
💼 Employment type not specified
🏠 Work mode not specified
💰 EUR 2800 - 4550 / month
Описание вакансии
Summary
Andersen is hiring a Data Engineer (Azure Databricks) in the EU for a project enhancing a cloud-based data platform and delivering scalable data solutions for drug development.
The customer is an international company operating in the life sciences sector. It focuses on developing and commercializing specialized products and solutions, supported by research, technology, and partnerships across multiple markets.
The project is focused on developing and enhancing data products for scientific and business stakeholders within the drug development domain. It aims to strengthen the cloud-based data platform and delivery capabilities, enabling scalable data processing, reliable analytics, and effective use of data across the organization.
Responsibilities
- Building and maintaining multi-layer pipelines (Landing → Raw → Enriched → Curated) on Azure Databricks (Spark, Delta Lake),
- Orchestrating pipelines via Databricks Jobs / Workflows: dependencies, retries, alerting.
- Implementing batch and API-based data ingestion from multiple source systems.
- Applying schema enforcement and handle schema drift; run data quality checks at ingestion.
- Working hands-on with dbt for pipeline observability and data governance tasks.
- Monitoring job failures, data freshness, and pipeline health against SLA-based delivery targets.
- Setting up alerts, logging, and retry strategies for production pipelines.
- Working within a controlled Dev/Test/Prod environment: access control, audit trails, pipeline documentation, traceability to requirements.
- Contributing to CI/CD and MLOps/AI pipelines on Databricks where the project needs it.
Requirements
- Commercial experience in Data Engineering for 4+ years.
- Strong hands-on experience with Azure Databricks, including Spark and Delta Lake.
- Experience building and maintaining multi-layer data pipelines following the Landing → Raw → Enriched → Curated architecture.
- Experience with schema enforcement and schema-drift handling.
- Ability to implement data quality checks at ingestion.
- Experience orchestrating pipelines using Databricks Jobs / Workflows, including dependencies, retries, alerts, and failure handling.
- Experience with both batch and API-based data ingestion.
- Strong hands-on experience with dbt.
- Ability to monitor job failures, data freshness, and overall pipeline health.
- Experience delivering data in line with defined SLAs.
- Experience implementing alerting, logging, and retry strategies.
- Experience designing and maintaining access control models.
- Understanding of audit trails, data lineage, and end-to-end traceability.
- Experience with logging and evidence generation for audit and compliance purposes.
- Understanding of segregation of duties.
- Experience defining and maintaining data contracts.
- Ability to create and maintain clear pipeline documentation.
- Experience working across controlled Dev, Test, and Prod environments.
- Ability to ensure traceability between requirements and implemented data solutions.
- Level of English – from Upper-Intermediate and above.
Nice to have
- Experience with Databricks.
- Experience with SAP S/4HANA; Microsoft 365; Azure; SharePoint; Enterprise integrations.
- Experience with CI/CD and DevOps practices for data, including Git-based development and branching strategies.
- Experience building and maintaining CI/CD pipelines for data workflows.
- Experience promoting code and data solutions across Dev, Test, and Prod environments.
- Ability to integrate automated testing into deployment pipelines.
- Experience with MLOps and AI pipelines on Databricks.
- Exposure to regulated domains such as GxP, clinical trials, and pharmacovigilance.
- Strong SQL engineering skills, including the development of modular and reusable dbt models, tests, and documentation at Analytics Engineer depth.
- Experience with dimensional data modeling, including star schemas, One Big Table (OBT) approaches, and curated data marts.
- Familiarity with Tabular Editor and metadata-as-code concepts.
- Experience with Power BI dataset design, performance optimization, and maintaining KPI and semantic consistency.
- Experience in the pharmaceutical or biotechnology industry.
Why join us
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- The opportunity to change the project and/or develop expertise in an interesting business domain.
- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and sports compensation, depending on the type of employment.
Join us!
Откликнуться на вакансию
2026-09-19 03:30:15
Service Delivery Manager
Andersen Lab
📍 Cyprus
🏢 Project management
💼 Employment type not specified
🏠 Remote for Cyprus
💰 EUR 3350 - 5275 / month
Описание вакансии
Summary
Andersen is hiring a Service Delivery Manager to lead service delivery, optimize processes, and ensure effective collaboration across international software projects.
Andersen is a pre-IPO software development company that provides a full cycle of services, following project management standards and best practices. For over 19 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies.
Immerse yourself in a global landscape as we collaborate with enterprises spanning North America, Western Europe, Israel, Australia, and the UAE. Our diverse expertise extends across FinTech, Healthcare, Retail, Telecom, Media & Entertainment, Logistics, Travel & Hospitality, eCommerce, and more.
Responsibilities
- Pre-selling Security.
- Delivering Security Services.
- Developing the Practice.
Requirements
- Experience of Delivery Management for 3+ years.
- Experience with pre-sales: scoping, SOWs, proposal input for security services (pentest, GRC, SOC).
- Familiarity with security service lines: penetration testing, phishing simulation, GRC audits, SOC operations.
- Ability to travel for client meetings and business development.
- Prior experience in outsourcing/MSP business models.
- Technical background.
- Level of English – from Advanced and above.
Nice to have
- Experience managing service delivery for cybersecurity or MSSP practices.
- Familiarity with compliance frameworks (PCI DSS, GDPR, Cyber Essentials, ISO 27001).
- Technical security background.
Why join us
- Andersen cooperates with such companies as Siemens, Johnson & Johnson, AstraZeneca, BNP Paribas, Allianz, Ryanair, TUI, Verivox, Media Markt, etc..
- For the past four years, our company has been growing annually by 60–100%, and we constantly involve top-notch specialists in our team.
- Andersen has mentoring and adaptation systems for new employees, and transparent performance review and assessment systems will allow you to determine your development path and plan your growth.
- The most important thing that we value in our employees is a commitment to continuous learning. The company supports them in this and gives them access to the best educational platforms, seminars, and practices. In addition, for over 19 years, Andersen has assembled a huge knowledge base and established a robust resource management institution.
- We have been strengthening our expertise since 2007. During this time, we have formed excellent teams with streamlined processes, where you can learn something new from your colleagues every day and enjoy your work.
- We are a cool young team of like-minded people communicating informally.
- You'll have a stable and competitive salary and an extensive benefits package.
- At Andersen, we have many different ways to grow. You can improve as a specialist or a manager, and all your activities will be decently rewarded.
Join us!
Откликнуться на вакансию
Andersen Lab
📍 Cyprus
🏢 Project management
💼 Employment type not specified
🏠 Remote for Cyprus
💰 EUR 3350 - 5275 / month
Описание вакансии
Summary
Andersen is hiring a Service Delivery Manager to lead service delivery, optimize processes, and ensure effective collaboration across international software projects.
Andersen is a pre-IPO software development company that provides a full cycle of services, following project management standards and best practices. For over 19 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies.
Immerse yourself in a global landscape as we collaborate with enterprises spanning North America, Western Europe, Israel, Australia, and the UAE. Our diverse expertise extends across FinTech, Healthcare, Retail, Telecom, Media & Entertainment, Logistics, Travel & Hospitality, eCommerce, and more.
Responsibilities
- Pre-selling Security.
- Delivering Security Services.
- Developing the Practice.
Requirements
- Experience of Delivery Management for 3+ years.
- Experience with pre-sales: scoping, SOWs, proposal input for security services (pentest, GRC, SOC).
- Familiarity with security service lines: penetration testing, phishing simulation, GRC audits, SOC operations.
- Ability to travel for client meetings and business development.
- Prior experience in outsourcing/MSP business models.
- Technical background.
- Level of English – from Advanced and above.
Nice to have
- Experience managing service delivery for cybersecurity or MSSP practices.
- Familiarity with compliance frameworks (PCI DSS, GDPR, Cyber Essentials, ISO 27001).
- Technical security background.
Why join us
- Andersen cooperates with such companies as Siemens, Johnson & Johnson, AstraZeneca, BNP Paribas, Allianz, Ryanair, TUI, Verivox, Media Markt, etc..
- For the past four years, our company has been growing annually by 60–100%, and we constantly involve top-notch specialists in our team.
- Andersen has mentoring and adaptation systems for new employees, and transparent performance review and assessment systems will allow you to determine your development path and plan your growth.
- The most important thing that we value in our employees is a commitment to continuous learning. The company supports them in this and gives them access to the best educational platforms, seminars, and practices. In addition, for over 19 years, Andersen has assembled a huge knowledge base and established a robust resource management institution.
- We have been strengthening our expertise since 2007. During this time, we have formed excellent teams with streamlined processes, where you can learn something new from your colleagues every day and enjoy your work.
- We are a cool young team of like-minded people communicating informally.
- You'll have a stable and competitive salary and an extensive benefits package.
- At Andersen, we have many different ways to grow. You can improve as a specialist or a manager, and all your activities will be decently rewarded.
Join us!
Откликнуться на вакансию
2026-09-19 03:30:10
L2 Technical Support Engineer
Andersen Lab
📍 Cyprus
🏢 Other
💼 Employment type not specified
🏠 Remote for Cyprus
💰 EUR 2000 - 3500 / month
Описание вакансии
Summary
Andersen is hiring an L2 Technical Support Engineer for a project supporting a video platform and ensuring reliable service, incident resolution, and system availability.
Our customer is a technology provider developing software solutions for digital media and content-driven businesses. Its platform helps organizations manage complex digital workflows, improve service performance, and deliver reliable experiences across different environments and devices. By combining cloud technologies, data-driven capabilities, and automation, the company supports customers in improving scalability, operational efficiency, and overall service quality. It works with organizations across multiple markets, continuously evolving its technology to meet changing business and user needs.
The project is focused on providing managed L2 technical support for a video technology platform, ensuring continuous availability and reliable service for enterprise customers. It covers production incident diagnosis and mitigation across video encoding workflows, web player integrations, and REST APIs while supporting effective escalation to engineering teams.
Responsibilities
- Providing L2 off-hours on-call technical support for enterprise video streaming and encoding workflows.
- Owning end-to-end incident lifecycle: triage, ticket logging, deep-dive root cause analysis (RCA), workaround implementation, and resolution within strict SLA targets.
- Troubleshooting REST API integrations: inspecting endpoints, authentication/tokens, headers, CORS preflights, and payload errors; reproducing reproducible calls via Postman/curl.
- Diagnosing web player issues (JS/TS) using Chrome DevTools: inspecting Console and Network tabs, analyzing buffering, verifying manifest and segment availability (HLS, DASH).
- Validating live streaming and encoding pipelines: verifying RTMP ingest status, encoder health, transcoding pipelines, and adaptive bitrate delivery.
- Reading and analyzing container and service logs via Docker and Kubernetes (kubectl logs, pod/service statuses, events) across multi-cloud environments (mainly GCP).
- Investigating basic network, proxy, and gateway issues (TLS certificates, HTTP/HTTPS, Nginx/HAProxy configurations).
- Documenting incident progress and client communication in Zendesk/Jira, providing clear updates.
- Escalating complex issues to L3 engineering with well-structured context: logs, reproduction steps, working hypotheses, and collected artifacts in object storage (S3/GCS).
- Maintaining ticket hygiene and following handover procedures between on-call shifts.
Requirements
- Hands-on experience in L2 Technical Support, DevOps, or Web Systems Engineering troubleshooting production environments for 2+ years.
- Proven hands-on experience in the video streaming / OTT / media domain: troubleshooting live streaming (RTMP ingest), file-based encoding/transcoding, and delivery workflows.
- Practical understanding of video streaming protocols (HLS, DASH), adaptive bitrate (ABR) streaming, codecs, containers, and common playback error patterns.
- Hands-on browser diagnostics using Chrome DevTools: inspecting Console, Network traces, CORS headers, HAR capture, and analyzing video segments/manifests and buffering issues.
- Deep understanding of REST API concepts, HTTP methods/headers/status codes, and hands-on API debugging (Postman, curl).
- Strong Linux command-line skills.
- Practical experience analyzing service logs and checking pod/service health in Docker and Kubernetes (kubectl).
- Availability and readiness for off-hours on-call coverage (Mon–Fri 00:00–05:30 CET, Sat–Sun 24/7).
- Level of English – from Upper-Intermediate and above.
Nice to have
- Hands-on exposure to live video streaming workflows, RTMP ingest, HLS/DASH delivery, and common player/streaming error patterns.
- Experience working with cloud platforms: GCP (primary platform), AWS, or Azure (reading instance logs, cloud metrics, and storage buckets).
- Basic ability to read and interpret backend application logs written in Java / Spring Boot.
- Hands-on experience with ticketing and tracking ecosystems: Zendesk, Jira, Confluence, and SLA tracking tools.
- Understanding of web caching layers, CDNs (Akamai, Cloudflare, Fastly), and reverse proxies (Nginx, HAProxy).
- Familiarity with security and code quality scanners (e.g., SonarQube, Snyk, Trivy).
- Prior on-call / night-shift support experience and incident management discipline under strict SLAs.
Why join us
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and sports compensation, depending on the type of employment.
Join us!
Откликнуться на вакансию
Andersen Lab
📍 Cyprus
🏢 Other
💼 Employment type not specified
🏠 Remote for Cyprus
💰 EUR 2000 - 3500 / month
Описание вакансии
Summary
Andersen is hiring an L2 Technical Support Engineer for a project supporting a video platform and ensuring reliable service, incident resolution, and system availability.
Our customer is a technology provider developing software solutions for digital media and content-driven businesses. Its platform helps organizations manage complex digital workflows, improve service performance, and deliver reliable experiences across different environments and devices. By combining cloud technologies, data-driven capabilities, and automation, the company supports customers in improving scalability, operational efficiency, and overall service quality. It works with organizations across multiple markets, continuously evolving its technology to meet changing business and user needs.
The project is focused on providing managed L2 technical support for a video technology platform, ensuring continuous availability and reliable service for enterprise customers. It covers production incident diagnosis and mitigation across video encoding workflows, web player integrations, and REST APIs while supporting effective escalation to engineering teams.
Responsibilities
- Providing L2 off-hours on-call technical support for enterprise video streaming and encoding workflows.
- Owning end-to-end incident lifecycle: triage, ticket logging, deep-dive root cause analysis (RCA), workaround implementation, and resolution within strict SLA targets.
- Troubleshooting REST API integrations: inspecting endpoints, authentication/tokens, headers, CORS preflights, and payload errors; reproducing reproducible calls via Postman/curl.
- Diagnosing web player issues (JS/TS) using Chrome DevTools: inspecting Console and Network tabs, analyzing buffering, verifying manifest and segment availability (HLS, DASH).
- Validating live streaming and encoding pipelines: verifying RTMP ingest status, encoder health, transcoding pipelines, and adaptive bitrate delivery.
- Reading and analyzing container and service logs via Docker and Kubernetes (kubectl logs, pod/service statuses, events) across multi-cloud environments (mainly GCP).
- Investigating basic network, proxy, and gateway issues (TLS certificates, HTTP/HTTPS, Nginx/HAProxy configurations).
- Documenting incident progress and client communication in Zendesk/Jira, providing clear updates.
- Escalating complex issues to L3 engineering with well-structured context: logs, reproduction steps, working hypotheses, and collected artifacts in object storage (S3/GCS).
- Maintaining ticket hygiene and following handover procedures between on-call shifts.
Requirements
- Hands-on experience in L2 Technical Support, DevOps, or Web Systems Engineering troubleshooting production environments for 2+ years.
- Proven hands-on experience in the video streaming / OTT / media domain: troubleshooting live streaming (RTMP ingest), file-based encoding/transcoding, and delivery workflows.
- Practical understanding of video streaming protocols (HLS, DASH), adaptive bitrate (ABR) streaming, codecs, containers, and common playback error patterns.
- Hands-on browser diagnostics using Chrome DevTools: inspecting Console, Network traces, CORS headers, HAR capture, and analyzing video segments/manifests and buffering issues.
- Deep understanding of REST API concepts, HTTP methods/headers/status codes, and hands-on API debugging (Postman, curl).
- Strong Linux command-line skills.
- Practical experience analyzing service logs and checking pod/service health in Docker and Kubernetes (kubectl).
- Availability and readiness for off-hours on-call coverage (Mon–Fri 00:00–05:30 CET, Sat–Sun 24/7).
- Level of English – from Upper-Intermediate and above.
Nice to have
- Hands-on exposure to live video streaming workflows, RTMP ingest, HLS/DASH delivery, and common player/streaming error patterns.
- Experience working with cloud platforms: GCP (primary platform), AWS, or Azure (reading instance logs, cloud metrics, and storage buckets).
- Basic ability to read and interpret backend application logs written in Java / Spring Boot.
- Hands-on experience with ticketing and tracking ecosystems: Zendesk, Jira, Confluence, and SLA tracking tools.
- Understanding of web caching layers, CDNs (Akamai, Cloudflare, Fastly), and reverse proxies (Nginx, HAProxy).
- Familiarity with security and code quality scanners (e.g., SonarQube, Snyk, Trivy).
- Prior on-call / night-shift support experience and incident management discipline under strict SLAs.
Why join us
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- Private health insurance and sports compensation, depending on the type of employment.
Join us!
Откликнуться на вакансию
2026-09-19 03:30:09
Digital Transformation Lead
StaffMatters Recruitment and Contracting Specialists
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Our Client is one of the Top 4 Accounting and Auditing firms who are currently looking to recruit an Digital Transformation Lead - Technology Consulting - Nicosia
The Digital Transformation Lead is responsible for leading and delivering strategic digital transformation initiatives that improve business performance, customer experience, operational efficiency, and technology capabilities.
The role works closely with senior leadership, business stakeholders, technology teams, and external partners to define transformation priorities, develop strategic roadmaps, redesign business processes and operating models, and ensure successful execution of complex transformation programmes.
The Digital Transformation Lead acts as the bridge between business strategy and technology, translating business objectives into practical digital solutions and measurable outcomes.
Key Responsibilities
Develop and execute digital transformation strategies aligned with the organisation's business objectives and long-term strategy.
Assess current business processes, operating models, technology capabilities and customer journeys to identify opportunities for digitisation, automation and performance improvement.
Define transformation roadmaps, target operating models, business cases, priorities, milestones and implementation plans.
Lead end-to-end digital transformation programmes from strategy and design through implementation, adoption and benefits realisation.
Identify opportunities to leverage emerging technologies including Artificial Intelligence, Data & Analytics, Cloud, Automation, APIs, digital platforms and other technology-enabled solutions.
Lead business process redesign and continuous improvement initiatives to increase efficiency, reduce costs and improve service quality.
Work with senior executives and business leaders to define transformation priorities, investment requirements and expected business outcomes.
Facilitate workshops with business and technology stakeholders to understand requirements, identify challenges and design future-state solutions.
Lead multidisciplinary teams across business, technology, operations, data, product and external vendors.
Establish appropriate programme governance, delivery frameworks, reporting structures, risk management and change management processes.
Manage programme scope, timelines, budgets, resources, dependencies, risks and delivery performance.
Develop executive-level presentations, transformation business cases, progress reports, recommendations and strategic proposals.
Ensure transformation initiatives deliver measurable improvements in revenue, cost efficiency, customer experience, productivity and operational performance.
Support organisational change, stakeholder engagement and adoption to ensure sustainable transformation outcomes.
Manage relationships with technology providers, implementation partners and other external stakeholders.
Monitor emerging digital and technology trends and assess their potential impact and value for the organisation.
Establish and track transformation KPIs, benefits realisation and business outcomes.
Coach and develop transformation, project and business teams while promoting a culture of innovation, collaboration and continuous improvement.
Strategic Focus Areas
The role may cover transformation initiatives across:
Digital strategy and transformation
Business and operating-model transformation
Technology strategy and implementation
Process optimisation and automation
Customer and employee experience
Data & Analytics
Artificial Intelligence and intelligent automation
Cloud and digital platforms
Enterprise applications and systems modernisation
Agile and product delivery
Change management and organisational transformation
Digital governance and transformation portfolio management
Requirements
Bachelor's degree in Business, Information Technology, Computer Science, Engineering, Management or a related discipline.
7+ years of relevant professional experience in digital transformation, technology consulting, business transformation, programme management, technology delivery or a related field.
Demonstrated experience leading complex transformation programmes from strategy through implementation.
Proven experience developing transformation strategies, roadmaps, business cases and target operating models.
Strong understanding of business process optimisation, technology-enabled transformation and operating-model design.
Experience working with senior executives, business leaders, technology teams and external partners.
Preferred Qualifications
PMP, PRINCE2, Agile/Scrum, SAFe or equivalent project/programme management certification.
Experience with Lean Six Sigma, ITIL, Change Management or Business Architecture.
Experience with Cloud, AI, Data & Analytics, ERP, CRM, automation or digital platforms.
Experience working within a Big Four consulting firm, management consultancy, technology consultancy or large enterprise transformation function.
Experience leading transformation initiatives across multiple business units or countries.
Master's degree or MBA would be considered an advantage.
Leadership Profile
The successful candidate will be a strategic and commercially minded transformation leader who can operate comfortably between the executive, business and technology levels.
They should be able to define the transformation vision, build stakeholder alignment, translate strategy into executable programmes, lead multidisciplinary teams and remain accountable for measurable business outcomes.
Key Performance Indicators
Success in the role will be measured through:
Delivery of strategic transformation programmes on time and within budget.
Realisation of targeted financial and operational benefits.
Improvement in customer and employee experience.
Process efficiency and automation gains.
Adoption and utilisation of new digital capabilities.
Successful delivery of transformation roadmaps and strategic initiatives.
Stakeholder and executive satisfaction.
Effective management of transformation risks, dependencies and governance.
Development of high-performing transformation teams.
The Benefits:
60-70K Gross per annum (incl. 13th salary)
Bonus Scheme that reflects firm & individual performance
Provident Fund
Health and Wellbeing
Holistic programme to support employees’ wellbeing
In-house occupational psychologist
Occupational doctor
Gym benefits
Running Club
Social committee
Life Within
Excellent opportunities for career development & advancement
Hybrid working model (working from the office, client and home)
Flexible working hours
Friday afternoon off
Flex Fridays for July & August (Reduced Hours – 36hours)
Reduced hours & Mother’s scheme working options
Paid Maternity & Paternity Leave
Paid Sick Leave
Holiday entitlement from the 1st day you join
Global Mobility programme
Dress for your Day
Free Parking
Откликнуться на вакансию
StaffMatters Recruitment and Contracting Specialists
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Our Client is one of the Top 4 Accounting and Auditing firms who are currently looking to recruit an Digital Transformation Lead - Technology Consulting - Nicosia
The Digital Transformation Lead is responsible for leading and delivering strategic digital transformation initiatives that improve business performance, customer experience, operational efficiency, and technology capabilities.
The role works closely with senior leadership, business stakeholders, technology teams, and external partners to define transformation priorities, develop strategic roadmaps, redesign business processes and operating models, and ensure successful execution of complex transformation programmes.
The Digital Transformation Lead acts as the bridge between business strategy and technology, translating business objectives into practical digital solutions and measurable outcomes.
Key Responsibilities
Develop and execute digital transformation strategies aligned with the organisation's business objectives and long-term strategy.
Assess current business processes, operating models, technology capabilities and customer journeys to identify opportunities for digitisation, automation and performance improvement.
Define transformation roadmaps, target operating models, business cases, priorities, milestones and implementation plans.
Lead end-to-end digital transformation programmes from strategy and design through implementation, adoption and benefits realisation.
Identify opportunities to leverage emerging technologies including Artificial Intelligence, Data & Analytics, Cloud, Automation, APIs, digital platforms and other technology-enabled solutions.
Lead business process redesign and continuous improvement initiatives to increase efficiency, reduce costs and improve service quality.
Work with senior executives and business leaders to define transformation priorities, investment requirements and expected business outcomes.
Facilitate workshops with business and technology stakeholders to understand requirements, identify challenges and design future-state solutions.
Lead multidisciplinary teams across business, technology, operations, data, product and external vendors.
Establish appropriate programme governance, delivery frameworks, reporting structures, risk management and change management processes.
Manage programme scope, timelines, budgets, resources, dependencies, risks and delivery performance.
Develop executive-level presentations, transformation business cases, progress reports, recommendations and strategic proposals.
Ensure transformation initiatives deliver measurable improvements in revenue, cost efficiency, customer experience, productivity and operational performance.
Support organisational change, stakeholder engagement and adoption to ensure sustainable transformation outcomes.
Manage relationships with technology providers, implementation partners and other external stakeholders.
Monitor emerging digital and technology trends and assess their potential impact and value for the organisation.
Establish and track transformation KPIs, benefits realisation and business outcomes.
Coach and develop transformation, project and business teams while promoting a culture of innovation, collaboration and continuous improvement.
Strategic Focus Areas
The role may cover transformation initiatives across:
Digital strategy and transformation
Business and operating-model transformation
Technology strategy and implementation
Process optimisation and automation
Customer and employee experience
Data & Analytics
Artificial Intelligence and intelligent automation
Cloud and digital platforms
Enterprise applications and systems modernisation
Agile and product delivery
Change management and organisational transformation
Digital governance and transformation portfolio management
Requirements
Bachelor's degree in Business, Information Technology, Computer Science, Engineering, Management or a related discipline.
7+ years of relevant professional experience in digital transformation, technology consulting, business transformation, programme management, technology delivery or a related field.
Demonstrated experience leading complex transformation programmes from strategy through implementation.
Proven experience developing transformation strategies, roadmaps, business cases and target operating models.
Strong understanding of business process optimisation, technology-enabled transformation and operating-model design.
Experience working with senior executives, business leaders, technology teams and external partners.
Preferred Qualifications
PMP, PRINCE2, Agile/Scrum, SAFe or equivalent project/programme management certification.
Experience with Lean Six Sigma, ITIL, Change Management or Business Architecture.
Experience with Cloud, AI, Data & Analytics, ERP, CRM, automation or digital platforms.
Experience working within a Big Four consulting firm, management consultancy, technology consultancy or large enterprise transformation function.
Experience leading transformation initiatives across multiple business units or countries.
Master's degree or MBA would be considered an advantage.
Leadership Profile
The successful candidate will be a strategic and commercially minded transformation leader who can operate comfortably between the executive, business and technology levels.
They should be able to define the transformation vision, build stakeholder alignment, translate strategy into executable programmes, lead multidisciplinary teams and remain accountable for measurable business outcomes.
Key Performance Indicators
Success in the role will be measured through:
Delivery of strategic transformation programmes on time and within budget.
Realisation of targeted financial and operational benefits.
Improvement in customer and employee experience.
Process efficiency and automation gains.
Adoption and utilisation of new digital capabilities.
Successful delivery of transformation roadmaps and strategic initiatives.
Stakeholder and executive satisfaction.
Effective management of transformation risks, dependencies and governance.
Development of high-performing transformation teams.
The Benefits:
60-70K Gross per annum (incl. 13th salary)
Bonus Scheme that reflects firm & individual performance
Provident Fund
Health and Wellbeing
Holistic programme to support employees’ wellbeing
In-house occupational psychologist
Occupational doctor
Gym benefits
Running Club
Social committee
Life Within
Excellent opportunities for career development & advancement
Hybrid working model (working from the office, client and home)
Flexible working hours
Friday afternoon off
Flex Fridays for July & August (Reduced Hours – 36hours)
Reduced hours & Mother’s scheme working options
Paid Maternity & Paternity Leave
Paid Sick Leave
Holiday entitlement from the 1st day you join
Global Mobility programme
Dress for your Day
Free Parking
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2026-09-19 03:07:27
Engineering Manager – Growth Foundations
Kraken
📍 Cyprus
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Building the Future of Open Finance
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.
The team
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Growth Foundations team builds the AI-native Growth Engine, enabling Growth teams across the company. We design and ship powerful AI-driven systems, tools and automations, as well as own the core infrastructure of Growth tools such as our website, user communications and martech. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally.
The Role
As an Engineering Manager within Growth Foundations, you’ll lead and develop a team of engineers who deliver high-impact features, platforms, and tools that power our growth. You’ll ensure the team is aligned, supported, and set up to execute with excellence — turning complex challenges into simple, reliable solutions that reach users around the world. You will also stay hands-on and deliver production grade features personally every day.
The opportunity
• Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features
• Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution
• Keep projects moving forward — maintaining clear expectations, realistic estimates, and transparent communication with stakeholders
• Provide technical guidance and context to help engineers make sound architectural and implementation decisions
• Foster a culture of accountability, trust, and learning — helping the team grow their impact and autonomy
• Improve team processes, communication, and collaboration across time zones
• Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization
• Leverage AI tooling daily to boost personal and team productivity
• Stay hands-on in the codebase, writing production-grade code and setting the bar for quality, reliability, and speed
What You Bring
• Experience leading engineering teams and delivering high-quality results in a collaborative environment
• Strong people leadership skills — you invest in coaching, clarity, and empowerment
• Solid technical foundation, especially on the backend; you can engage in design discussions, code reviews, and help engineers make pragmatic decisions
• Strong individual contributor background — you write production-grade code and lead by example
• High proficiency in modern AI-driven development — you use AI daily to boost personal and team performance through automation
• Familiarity with one or more modern programming languages (e.g. TypeScript, Rust, Go, Python, or similar)
• A product mindset — you care about how your team’s work impacts users and moves key metrics
• Clear communication and organizational skills, with the ability to align engineering efforts with business goals
• Experience working in distributed, remote-first teams
Nice to haves
• Experience with analytics, performance/paid marketing, experimentation, or growth tooling
• Background in developer experience, SDKs, or internal platforms
• Exposure to scaling teams or processes during high-growth phases
How You Lead
• You lead by setting context, not control — empowering engineers to make decisions with clarity and confidence
• You coach through curiosity, helping others grow their judgment and autonomy
• You communicate transparently, ensuring alignment across engineering, product, and design
• You model accountability and empathy, creating an environment of trust and shared purpose
We know that great engineers come from many backgrounds. If you're excited about the mission but don't meet every requirement, we encourage you to apply.
How We Work
We give engineers ownership and trust them to ship high-impact work with craftsmanship and accountability. We move quickly, experiment often, and learn continuously from data and user feedback. We build acquisition and engagement experiences that are fast, resilient, and measurable. We collaborate asynchronously across time zones, connected by clear communication and shared goals.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Our commitment
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter
Learn on the Kraken Blog
Connect on LinkedIn
Candidate Privacy Notice
Откликнуться на вакансию
Kraken
📍 Cyprus
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Building the Future of Open Finance
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.
The team
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Growth Foundations team builds the AI-native Growth Engine, enabling Growth teams across the company. We design and ship powerful AI-driven systems, tools and automations, as well as own the core infrastructure of Growth tools such as our website, user communications and martech. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally.
The Role
As an Engineering Manager within Growth Foundations, you’ll lead and develop a team of engineers who deliver high-impact features, platforms, and tools that power our growth. You’ll ensure the team is aligned, supported, and set up to execute with excellence — turning complex challenges into simple, reliable solutions that reach users around the world. You will also stay hands-on and deliver production grade features personally every day.
The opportunity
• Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features
• Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution
• Keep projects moving forward — maintaining clear expectations, realistic estimates, and transparent communication with stakeholders
• Provide technical guidance and context to help engineers make sound architectural and implementation decisions
• Foster a culture of accountability, trust, and learning — helping the team grow their impact and autonomy
• Improve team processes, communication, and collaboration across time zones
• Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization
• Leverage AI tooling daily to boost personal and team productivity
• Stay hands-on in the codebase, writing production-grade code and setting the bar for quality, reliability, and speed
What You Bring
• Experience leading engineering teams and delivering high-quality results in a collaborative environment
• Strong people leadership skills — you invest in coaching, clarity, and empowerment
• Solid technical foundation, especially on the backend; you can engage in design discussions, code reviews, and help engineers make pragmatic decisions
• Strong individual contributor background — you write production-grade code and lead by example
• High proficiency in modern AI-driven development — you use AI daily to boost personal and team performance through automation
• Familiarity with one or more modern programming languages (e.g. TypeScript, Rust, Go, Python, or similar)
• A product mindset — you care about how your team’s work impacts users and moves key metrics
• Clear communication and organizational skills, with the ability to align engineering efforts with business goals
• Experience working in distributed, remote-first teams
Nice to haves
• Experience with analytics, performance/paid marketing, experimentation, or growth tooling
• Background in developer experience, SDKs, or internal platforms
• Exposure to scaling teams or processes during high-growth phases
How You Lead
• You lead by setting context, not control — empowering engineers to make decisions with clarity and confidence
• You coach through curiosity, helping others grow their judgment and autonomy
• You communicate transparently, ensuring alignment across engineering, product, and design
• You model accountability and empathy, creating an environment of trust and shared purpose
We know that great engineers come from many backgrounds. If you're excited about the mission but don't meet every requirement, we encourage you to apply.
How We Work
We give engineers ownership and trust them to ship high-impact work with craftsmanship and accountability. We move quickly, experiment often, and learn continuously from data and user feedback. We build acquisition and engagement experiences that are fast, resilient, and measurable. We collaborate asynchronously across time zones, connected by clear communication and shared goals.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Our commitment
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter
Learn on the Kraken Blog
Connect on LinkedIn
Candidate Privacy Notice
Откликнуться на вакансию
2026-09-19 03:07:22
Senior AI Engineer - Marketing
HFM
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
As we continue to expand, we are seeking a driven and strategic Senior AI Engineer to lead our Marketing Platform team.
Responsibilities :
• Lead and develop a dedicated team of AI engineers, owning technical direction, code quality, sprint delivery and the growth of each engineer.
• Take accountability for smooth delivery of the platform, planning releases and integrating new capabilities into the live product without disrupting existing users.
• Work directly with Marketing stakeholders to interrogate requests, challenge assumptions and translate business requirements into AI models and agents; the role is as analytical and consultative as it is technical.
• Design and extend generative AI capabilities for marketing content production, with the human review and approval steps that govern every output.
• Lead the development of multilingual AI capabilities, covering model selection, adaptation, quality evaluation and production serving.
• Architect and evolve the platform’s data and state layer to support reliable workflow execution, asynchronous processing and semantic retrieval at scale.
• Establish the evaluation and guardrail practice for generated content: evaluation sets, output validation and quality thresholds that gate a release rather than describe it afterwards.
• Set the engineering standards the team works to, including prompt versioning, observability, runbooks and the review culture that keeps a fast-moving product safe to change.
Requirements
• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 5+ years of backend software development experience, including 2+ years building and deploying LLM or generative AI applications in production.
• Proven experience leading or mentoring a team of engineers, with accountability for delivery commitments as well as for code.
• Strong proficiency in Python, FastAPI and PostgreSQL, with solid experience of cloud infrastructure, ideally AWS.
• Hands-on experience across the model lifecycle – adaptation or fine-tuning, systematic evaluation, deployment and serving.
• Experience with retrieval-augmented generation and vector search (pgvector, OpenSearch, Qdrant or similar).
• Strong analytical and stakeholder-facing skills: able to establish what non-technical business users actually need and turn it into a specification a team can build against.
• Excellent communication skills and full professional proficiency in English, with the confidence to present trade-offs and delivery risk to senior stakeholders.
• A track record of shipping incremental features into a live product without regression.
Nice to have:
• Experience with content generation, marketing technology or creative production platforms.
• Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or the Model Context Protocol (MCP).
• Familiarity with multilingual NLP or machine translation, and with evaluating language quality beyond automated metrics.
• Experience building workflow engines, multi-stage approval flows, or role-based access control.
• Familiarity with FinTech platforms, FX trading, or financial services operations.
Resumes must be submitted in English. Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
• Hybrid Work Model (2 days working from home)
• Comprehensive Health plan starting from the first day of employment
• Pension plan
• 13th salary payment
• Additional Paid Annual Leave (up to 30 days, based on years of service)
• Up to 5 Carry over annual leave days from previous year to the next one
• Birthday Leave
• Udemy Business access
• Monthly Wolt Vouchers
• Monthly meals & treats at the office
• Participation in company's Group Discount Scheme
• Gym Membership
• Referral Bonus Program
• Summer Short Fridays (August)
Additional Support
• Visa Sponsorship and Relocation Assistance (If applicable)
Sounds like you? Let’s write the next chapter together!
All Applications will be handled with the strictest confidentiality.
Откликнуться на вакансию
HFM
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
As we continue to expand, we are seeking a driven and strategic Senior AI Engineer to lead our Marketing Platform team.
Responsibilities :
• Lead and develop a dedicated team of AI engineers, owning technical direction, code quality, sprint delivery and the growth of each engineer.
• Take accountability for smooth delivery of the platform, planning releases and integrating new capabilities into the live product without disrupting existing users.
• Work directly with Marketing stakeholders to interrogate requests, challenge assumptions and translate business requirements into AI models and agents; the role is as analytical and consultative as it is technical.
• Design and extend generative AI capabilities for marketing content production, with the human review and approval steps that govern every output.
• Lead the development of multilingual AI capabilities, covering model selection, adaptation, quality evaluation and production serving.
• Architect and evolve the platform’s data and state layer to support reliable workflow execution, asynchronous processing and semantic retrieval at scale.
• Establish the evaluation and guardrail practice for generated content: evaluation sets, output validation and quality thresholds that gate a release rather than describe it afterwards.
• Set the engineering standards the team works to, including prompt versioning, observability, runbooks and the review culture that keeps a fast-moving product safe to change.
Requirements
• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 5+ years of backend software development experience, including 2+ years building and deploying LLM or generative AI applications in production.
• Proven experience leading or mentoring a team of engineers, with accountability for delivery commitments as well as for code.
• Strong proficiency in Python, FastAPI and PostgreSQL, with solid experience of cloud infrastructure, ideally AWS.
• Hands-on experience across the model lifecycle – adaptation or fine-tuning, systematic evaluation, deployment and serving.
• Experience with retrieval-augmented generation and vector search (pgvector, OpenSearch, Qdrant or similar).
• Strong analytical and stakeholder-facing skills: able to establish what non-technical business users actually need and turn it into a specification a team can build against.
• Excellent communication skills and full professional proficiency in English, with the confidence to present trade-offs and delivery risk to senior stakeholders.
• A track record of shipping incremental features into a live product without regression.
Nice to have:
• Experience with content generation, marketing technology or creative production platforms.
• Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or the Model Context Protocol (MCP).
• Familiarity with multilingual NLP or machine translation, and with evaluating language quality beyond automated metrics.
• Experience building workflow engines, multi-stage approval flows, or role-based access control.
• Familiarity with FinTech platforms, FX trading, or financial services operations.
Resumes must be submitted in English. Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
• Hybrid Work Model (2 days working from home)
• Comprehensive Health plan starting from the first day of employment
• Pension plan
• 13th salary payment
• Additional Paid Annual Leave (up to 30 days, based on years of service)
• Up to 5 Carry over annual leave days from previous year to the next one
• Birthday Leave
• Udemy Business access
• Monthly Wolt Vouchers
• Monthly meals & treats at the office
• Participation in company's Group Discount Scheme
• Gym Membership
• Referral Bonus Program
• Summer Short Fridays (August)
Additional Support
• Visa Sponsorship and Relocation Assistance (If applicable)
Sounds like you? Let’s write the next chapter together!
All Applications will be handled with the strictest confidentiality.
Откликнуться на вакансию
2026-09-19 03:07:17
Nuclear & Radiological Safety Expert for AI Model Audit
SME Careers
📍 Cyprus
💼 Contract
🏠 Work mode not specified
Описание вакансии
## Description
SME Careers is assembling a small panel of nuclear and radiological professionals to audit how AI models respond to sensitive questions in the field. Each task gives you a user request and the answers three different models gave to it. You classify the request (benign, dual-use or adversarial), mark each answer as safe or unsafe and say why, rank the three against each other, and write the answer the model should have given. For dual-use requests you also note what makes it sensitive, what legitimate purpose it serves, and who should be able to get an answer.
The requests are realistic: the kinds of things reactor engineers, health physicists, regulators, students and occasionally bad actors actually ask. Some are ordinary professional questions that models wrongly refuse, and catching those matters as much as catching the dangerous ones.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your nuclear physics expertise directly helps improve the world’s leading AI models by making their nuclear science, radiation, and physics outputs more accurate, safe and reliable.
## Who we're looking for
Nuclear engineers and reactor physicists, safeguards and nonproliferation specialists (IAEA, NRC or equivalent, export control, national labs), health physicists and radiation safety officers, radiochemists, and former military or government nuclear personnel. Usually a relevant degree plus five or more years of professional experience. Experience reviewing technical work against a standard (licensing, inspection, peer review) or AI red teaming is a strong plus.
## Before you apply
This role is open only to citizens or residents of the US, UK, Canada, Australia, New Zealand and the European Union.
Откликнуться на вакансию
SME Careers
📍 Cyprus
💼 Contract
🏠 Work mode not specified
Описание вакансии
## Description
SME Careers is assembling a small panel of nuclear and radiological professionals to audit how AI models respond to sensitive questions in the field. Each task gives you a user request and the answers three different models gave to it. You classify the request (benign, dual-use or adversarial), mark each answer as safe or unsafe and say why, rank the three against each other, and write the answer the model should have given. For dual-use requests you also note what makes it sensitive, what legitimate purpose it serves, and who should be able to get an answer.
The requests are realistic: the kinds of things reactor engineers, health physicists, regulators, students and occasionally bad actors actually ask. Some are ordinary professional questions that models wrongly refuse, and catching those matters as much as catching the dangerous ones.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your nuclear physics expertise directly helps improve the world’s leading AI models by making their nuclear science, radiation, and physics outputs more accurate, safe and reliable.
## Who we're looking for
Nuclear engineers and reactor physicists, safeguards and nonproliferation specialists (IAEA, NRC or equivalent, export control, national labs), health physicists and radiation safety officers, radiochemists, and former military or government nuclear personnel. Usually a relevant degree plus five or more years of professional experience. Experience reviewing technical work against a standard (licensing, inspection, peer review) or AI red teaming is a strong plus.
## Before you apply
This role is open only to citizens or residents of the US, UK, Canada, Australia, New Zealand and the European Union.
Откликнуться на вакансию
2026-09-19 03:07:13
Senior Frontend Engineer
Acclaim AI
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
We are looking for a skilled Frontend Engineer to join our engineering team.
Requirements:
• 6+ years of professional experience in frontend/full-stack product development, with 5+ years of React in production and strong senior-level expertise in TypeScript, including strict mode, React 19, and modern tooling such as Vite and monorepos.
• 2+ years of Node.js development on the server, with hands-on experience building and operating BFF or API gateway layers. Experience with NestJS is a strong plus; what matters most is understanding service aggregation, authentication, pagination, error contracts, and clear BFF boundaries.
• Strong production experience in microservice environments — ideally working with 10+ services and able to explain why a BFF exists, what it should own, and where its boundary sits. Experience limited to consuming a single monolithic API is not sufficient.
• Experience building complex, stateful UIs, such as graph/canvas editors or collaborative interfaces, including patterns like undo/redo, optimistic updates, conflict handling, and other non-trivial state management.
• Strong frontend architecture and code organization skills — familiar with approaches such as FSD or modular/layered architectures, and comfortable working within an established team architecture rather than imposing a personal one.
• Strong product sense and autonomy — able to make reasonable UI and UX decisions from product context and an existing design system, without always relying on finished designs or dedicated product designers.
• Solid testing culture, with hands-on experience writing and maintaining unit/component tests with Vitest and end-to-end tests with Playwright as an integral part of development.
• Hands-on experience with modern frontend/data tools, including React Query, Socket.io, Prisma and PostgreSQL.
• Hands-on experience with AI-assisted development tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar agentic coding tools. Comfortable understanding where AI agents add value and where they require human oversight, and working in development workflows where agent instructions and automated reviews are integrated into the repository/CI.
Nice to have
• Experience owning or maintaining a shared component library used by multiple product teams, or migrating a legacy UI to a new design system while continuing feature development.
• Experience with real-time collaboration technologies, such as Yjs, Automerge, or operational transforms.
• Experience with WebRTC or SIP in the browser, particularly for voice applications, audio review interfaces, waveforms, or transcript synchronization.
• Experience with Prisma or Kysely and hands-on PostgreSQL query optimization/work.
• Experience with Kubernetes/Helm and observability tooling such as OpenTelemetry or Prometheus.
• Domain experience in voice AI, telephony, contact centers, conversational AI, or LLM-based products.
Responsibilities:
• Build and evolve React interfaces for our AI agent platform, including conversation and prompt engineering tools, graph-based collaborative flow builders, agent configuration and testing interfaces, and call analytics dashboards, based on Figma designs.
• Own and develop the BFF layer on NestJS, aggregating REST microservices through typed clients generated from OpenAPI. Handle authentication, pagination, streaming, and error contracts to keep the frontend layer thin. Also contribute to backend development with PostgreSQL and Redis.
• Drive the evolution and consistency of our frontend component ecosystem: consolidate legacy Ant Design components into our own design system built on Mantine, own the shared UI library and Storybook, and keep multiple product applications consistent.
• Ensure product quality through comprehensive testing, using Vitest for unit/component tests and Playwright for end-to-end and critical user-flow testing, including SDK functionality.
• Collaborate across teams and product v-teams on API contracts, SDK protocols, code reviews, bug fixes, QA support, and test scenarios, joining initiatives where frontend or platform expertise is needed.
• Partner with the documentation team to create and maintain comprehensive documentation, including integration guides and practical code examples.
What we offer:
• The team has built award-winning AI products for tech corporations - devices, voice assistants, products that are actually in the world
• Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
• High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
• Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
• Startup pace with enterprise stability - real clients, real revenue, no bureaucracy
• Fully remote across Europe
• 21 vacation days + public holidays + 5 sick days
• Private English lessons via Preply
Откликнуться на вакансию
Acclaim AI
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
We are looking for a skilled Frontend Engineer to join our engineering team.
Requirements:
• 6+ years of professional experience in frontend/full-stack product development, with 5+ years of React in production and strong senior-level expertise in TypeScript, including strict mode, React 19, and modern tooling such as Vite and monorepos.
• 2+ years of Node.js development on the server, with hands-on experience building and operating BFF or API gateway layers. Experience with NestJS is a strong plus; what matters most is understanding service aggregation, authentication, pagination, error contracts, and clear BFF boundaries.
• Strong production experience in microservice environments — ideally working with 10+ services and able to explain why a BFF exists, what it should own, and where its boundary sits. Experience limited to consuming a single monolithic API is not sufficient.
• Experience building complex, stateful UIs, such as graph/canvas editors or collaborative interfaces, including patterns like undo/redo, optimistic updates, conflict handling, and other non-trivial state management.
• Strong frontend architecture and code organization skills — familiar with approaches such as FSD or modular/layered architectures, and comfortable working within an established team architecture rather than imposing a personal one.
• Strong product sense and autonomy — able to make reasonable UI and UX decisions from product context and an existing design system, without always relying on finished designs or dedicated product designers.
• Solid testing culture, with hands-on experience writing and maintaining unit/component tests with Vitest and end-to-end tests with Playwright as an integral part of development.
• Hands-on experience with modern frontend/data tools, including React Query, Socket.io, Prisma and PostgreSQL.
• Hands-on experience with AI-assisted development tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar agentic coding tools. Comfortable understanding where AI agents add value and where they require human oversight, and working in development workflows where agent instructions and automated reviews are integrated into the repository/CI.
Nice to have
• Experience owning or maintaining a shared component library used by multiple product teams, or migrating a legacy UI to a new design system while continuing feature development.
• Experience with real-time collaboration technologies, such as Yjs, Automerge, or operational transforms.
• Experience with WebRTC or SIP in the browser, particularly for voice applications, audio review interfaces, waveforms, or transcript synchronization.
• Experience with Prisma or Kysely and hands-on PostgreSQL query optimization/work.
• Experience with Kubernetes/Helm and observability tooling such as OpenTelemetry or Prometheus.
• Domain experience in voice AI, telephony, contact centers, conversational AI, or LLM-based products.
Responsibilities:
• Build and evolve React interfaces for our AI agent platform, including conversation and prompt engineering tools, graph-based collaborative flow builders, agent configuration and testing interfaces, and call analytics dashboards, based on Figma designs.
• Own and develop the BFF layer on NestJS, aggregating REST microservices through typed clients generated from OpenAPI. Handle authentication, pagination, streaming, and error contracts to keep the frontend layer thin. Also contribute to backend development with PostgreSQL and Redis.
• Drive the evolution and consistency of our frontend component ecosystem: consolidate legacy Ant Design components into our own design system built on Mantine, own the shared UI library and Storybook, and keep multiple product applications consistent.
• Ensure product quality through comprehensive testing, using Vitest for unit/component tests and Playwright for end-to-end and critical user-flow testing, including SDK functionality.
• Collaborate across teams and product v-teams on API contracts, SDK protocols, code reviews, bug fixes, QA support, and test scenarios, joining initiatives where frontend or platform expertise is needed.
• Partner with the documentation team to create and maintain comprehensive documentation, including integration guides and practical code examples.
What we offer:
• The team has built award-winning AI products for tech corporations - devices, voice assistants, products that are actually in the world
• Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
• High engineering bar and real ownership - the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
• Fast career progression - a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
• Startup pace with enterprise stability - real clients, real revenue, no bureaucracy
• Fully remote across Europe
• 21 vacation days + public holidays + 5 sick days
• Private English lessons via Preply
Откликнуться на вакансию
2026-09-19 03:07:11
Software Engineer in Test (Remote, Greece or Cyprus)
LearnWorlds
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
LearnWorlds
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
2026-09-19 03:07:06
Software Engineer in Test (Remote, Greece or Cyprus)
LearnWorlds
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
LearnWorlds
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
2026-09-19 03:06:22
Chemical Safety Expert for AI Model Safety Audit
SME Careers
📍 Cyprus
💼 Contract
🏠 Work mode not specified
Описание вакансии
## Description
SME Careers is hiring chemists and chemical safety professionals to audit how AI models respond to sensitive questions in the field. Each task gives you a user request and the answers three different models gave to it. You classify the request (benign, dual-use or adversarial), mark each answer as safe or unsafe and say why, rank the three against each other, and write the answer the model should have given. For dual-use requests you also note what makes it sensitive, what legitimate purpose it serves, and who should be able to get an answer.
The requests are realistic: what synthetic and analytical chemists, toxicologists, industrial hygienists, process safety engineers, regulators and occasionally bad actors actually ask. Some are ordinary professional questions that models wrongly refuse, and catching those matters as much as catching the dangerous ones.
## Who we're looking for
Synthetic and analytical chemists; toxicologists and pharmacologists; industrial hygienists and chemical safety/process safety professionals; CWC or chemical-security specialists; hazmat, poison-control or chemical incident responders; and chemical regulators (EPA, OSHA, HSE, OPCW-adjacent, or equivalent). Usually a relevant degree plus five or more years of professional experience. Experience with safety data sheets, exposure assessment, incident reports or regulatory review is a strong plus.
## Before you apply
Open only to citizens or permanent residents of the US, UK, Canada, Australia, New Zealand and the European Union.
Key Responsibilities
• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Откликнуться на вакансию
SME Careers
📍 Cyprus
💼 Contract
🏠 Work mode not specified
Описание вакансии
## Description
SME Careers is hiring chemists and chemical safety professionals to audit how AI models respond to sensitive questions in the field. Each task gives you a user request and the answers three different models gave to it. You classify the request (benign, dual-use or adversarial), mark each answer as safe or unsafe and say why, rank the three against each other, and write the answer the model should have given. For dual-use requests you also note what makes it sensitive, what legitimate purpose it serves, and who should be able to get an answer.
The requests are realistic: what synthetic and analytical chemists, toxicologists, industrial hygienists, process safety engineers, regulators and occasionally bad actors actually ask. Some are ordinary professional questions that models wrongly refuse, and catching those matters as much as catching the dangerous ones.
## Who we're looking for
Synthetic and analytical chemists; toxicologists and pharmacologists; industrial hygienists and chemical safety/process safety professionals; CWC or chemical-security specialists; hazmat, poison-control or chemical incident responders; and chemical regulators (EPA, OSHA, HSE, OPCW-adjacent, or equivalent). Usually a relevant degree plus five or more years of professional experience. Experience with safety data sheets, exposure assessment, incident reports or regulatory review is a strong plus.
## Before you apply
Open only to citizens or permanent residents of the US, UK, Canada, Australia, New Zealand and the European Union.
Key Responsibilities
• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Откликнуться на вакансию
2026-09-19 03:06:18
Product Analyst
Wrike
📍 Nicosia
💼 Full time
🏠 Hybrid
Описание вакансии
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision: A world where everyone is free to focus on their most purposeful work, together.
About the Role:
ou'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.
You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.
This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.
Our Work Style:
• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office
Your Impact:
• Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
• Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
• Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
• Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
• Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
• Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
• Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.
Your Qualifications:
• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English
Standout Qualities:
• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.
Team Dynamics:
You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.
We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.
What’s Next?
• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview
If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you.
Perks & Benefits:
• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
Who Is Wrike And Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.
Откликнуться на вакансию
Wrike
📍 Nicosia
💼 Full time
🏠 Hybrid
Описание вакансии
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision: A world where everyone is free to focus on their most purposeful work, together.
About the Role:
ou'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.
You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.
This role goes beyond reporting numbers. We expect Product Analysts to understand why something is happening, why it matters, and what we should consider doing next — turning data into clear insights and actionable recommendations.
Our Work Style:
• Tech Stack: SQL (GBQ), Python, Tableau, Amplitude, Airflow
• Work Mode: Hybrid – 2 days in-office
Your Impact:
• Discover and Evaluate Product Opportunities Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
• Assess and Measure Product Impact Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
• Run Experiments and Product Research Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
• Turn Data into Product Insights Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
• Build Analytics for Scale Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
• Partner with Product Teams Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
• Use AI to Work Smarter Use AI responsibly to accelerate analytical work and improve analytical workflows.
Your Qualifications:
• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English
Standout Qualities:
• Python skills for data analysis
• Experience with Amplitude
• Experience with advanced analytical methods such as regression, clustering, or causal inference
• Experience with product discovery or opportunity assessment
• Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.
Team Dynamics:
You'll join a team of experienced Product Analysts working closely with Product and R&D teams. We use data not only to measure what happened, but to understand customer behavior, identify opportunities, and help teams make better product decisions.
We value curiosity, analytical rigor, ownership, business thinking, and collaboration, while continuously looking for ways to make analytics more scalable through reusable approaches, automation, and AI.
What’s Next?
• Exploratory call with recruiter
• Home task assignment
• Technical Interview
• Culture Interview
If you're passionate about understanding how and why customers use products and want your analysis to influence real product decisions, we'd love to hear from you.
Perks & Benefits:
• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursday
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
Who Is Wrike And Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our LinkedIn Life Page, Company culture page, Instagram, Wrike Engineering Team, Medium, Meetup.com, Youtube for a feel for what life is like at Wrike.
Откликнуться на вакансию
2026-09-19 03:06:16
Mid AI Engineer
HFM
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
As we continue to expand, we are seeking a driven and strategic Mid AI Engineer to join our team.
Responsibilities:
• Build and ship internal AI services end to end — from the data pipeline through the model to the API other teams call — working within the team's established architecture.
• Develop asynchronous REST APIs and microservices in FastAPI, deployed on Kubernetes, to serve models and orchestrate agent tool calls.
• Implement retrieval pipelines over PostgreSQL and pgvector — chunking, embedding, indexing and retrieval tuning — and measure them against a held-out evaluation set.
• Build and maintain training pipelines covering data preparation, fine-tuning, evaluation and model registration, promoting a new model only when it measurably beats the one in production.
• Integrate agent tools and Model Context Protocol (MCP) endpoints, ensuring each tool enforces its own access controls rather than relying on the model to do so.
• Write the evaluation sets, structural output checks and drift monitoring that prove a model works before release and keep proving it afterwards.
• Instrument services with structured logging, Prometheus metrics and OpenTelemetry tracing, so that failures can be diagnosed rather than guessed at.
• Review the work of junior engineers and trainees, pair with them on delivery, and contribute to the team's engineering and documentation standards.
Requirements
• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 3+ years of backend software development experience, including hands-on delivery of at least one machine learning or LLM application into production.
• Strong proficiency in Python and FastAPI, with solid working knowledge of PostgreSQL and SQL.
• Practical experience with LLM application patterns — retrieval-augmented generation, prompt design, structured outputs, and evaluation of model quality.
• Experience with Docker, Git and CI/CD pipelines, and comfort working in a containerised environment such as Kubernetes.
• Working knowledge of a major cloud platform, ideally AWS.
• A methodical approach to correctness: you write tests, you measure before and after, and you can explain how you know a change is an improvement.
• Strong communication skills and full professional proficiency in English.
• A collaborative approach — comfortable learning from senior colleagues and supporting those with less experience.
Nice to have:
• Experience running vector search in production (pgvector, OpenSearch, Qdrant or similar).
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or to the Model Context Protocol.
• Experience with model registries and deployment workflows (MLflow or equivalent), or with serving open-weight models (e.g., vLLM).
• Familiarity with analytical data stores such as ClickHouse, and with observability tooling (OpenTelemetry, Grafana, Langfuse).
• Familiarity with FinTech platforms, FX trading, or financial services operations.
Resumes must be submitted in English. Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
• Hybrid Work Model (2 days working from home)
• Comprehensive Health plan starting from the first day of employment
• Pension plan
• 13th salary payment
• Additional Paid Annual Leave (up to 30 days, based on years of service)
• Up to 5 Carry over annual leave days from previous year to the next one
• Birthday Leave
• Udemy Business access
• Monthly Wolt Vouchers
• Monthly meals & treats at the office
• Participation in company's Group Discount Scheme
• Gym Membership
• Referral Bonus Program
• Summer Short Fridays (August)
Additional Support
• Visa Sponsorship and Relocation Assistance (If applicable)
Sounds like you? Let’s write the next chapter together!
All Applications will be handled with the strictest confidentiality.
Откликнуться на вакансию
HFM
📍 Larnaca
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets.
As we continue to expand, we are seeking a driven and strategic Mid AI Engineer to join our team.
Responsibilities:
• Build and ship internal AI services end to end — from the data pipeline through the model to the API other teams call — working within the team's established architecture.
• Develop asynchronous REST APIs and microservices in FastAPI, deployed on Kubernetes, to serve models and orchestrate agent tool calls.
• Implement retrieval pipelines over PostgreSQL and pgvector — chunking, embedding, indexing and retrieval tuning — and measure them against a held-out evaluation set.
• Build and maintain training pipelines covering data preparation, fine-tuning, evaluation and model registration, promoting a new model only when it measurably beats the one in production.
• Integrate agent tools and Model Context Protocol (MCP) endpoints, ensuring each tool enforces its own access controls rather than relying on the model to do so.
• Write the evaluation sets, structural output checks and drift monitoring that prove a model works before release and keep proving it afterwards.
• Instrument services with structured logging, Prometheus metrics and OpenTelemetry tracing, so that failures can be diagnosed rather than guessed at.
• Review the work of junior engineers and trainees, pair with them on delivery, and contribute to the team's engineering and documentation standards.
Requirements
• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 3+ years of backend software development experience, including hands-on delivery of at least one machine learning or LLM application into production.
• Strong proficiency in Python and FastAPI, with solid working knowledge of PostgreSQL and SQL.
• Practical experience with LLM application patterns — retrieval-augmented generation, prompt design, structured outputs, and evaluation of model quality.
• Experience with Docker, Git and CI/CD pipelines, and comfort working in a containerised environment such as Kubernetes.
• Working knowledge of a major cloud platform, ideally AWS.
• A methodical approach to correctness: you write tests, you measure before and after, and you can explain how you know a change is an improvement.
• Strong communication skills and full professional proficiency in English.
• A collaborative approach — comfortable learning from senior colleagues and supporting those with less experience.
Nice to have:
• Experience running vector search in production (pgvector, OpenSearch, Qdrant or similar).
• Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or to the Model Context Protocol.
• Experience with model registries and deployment workflows (MLflow or equivalent), or with serving open-weight models (e.g., vLLM).
• Familiarity with analytical data stores such as ClickHouse, and with observability tooling (OpenTelemetry, Grafana, Langfuse).
• Familiarity with FinTech platforms, FX trading, or financial services operations.
Resumes must be submitted in English. Applicants must be eligible or have legal authorization to work in the country where the position is based.
Benefits
• Hybrid Work Model (2 days working from home)
• Comprehensive Health plan starting from the first day of employment
• Pension plan
• 13th salary payment
• Additional Paid Annual Leave (up to 30 days, based on years of service)
• Up to 5 Carry over annual leave days from previous year to the next one
• Birthday Leave
• Udemy Business access
• Monthly Wolt Vouchers
• Monthly meals & treats at the office
• Participation in company's Group Discount Scheme
• Gym Membership
• Referral Bonus Program
• Summer Short Fridays (August)
Additional Support
• Visa Sponsorship and Relocation Assistance (If applicable)
Sounds like you? Let’s write the next chapter together!
All Applications will be handled with the strictest confidentiality.
Откликнуться на вакансию
2026-09-19 03:06:12
Senior AI Filmmaker | 100% Remote
Foxelli Group
📍 Nicosia
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us.
At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously.
If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career.
What You'll Do
We create premium AI short films and series that make people feel something. You'll be a key part of building this, producing daily episodes of dark romance, horror, thriller, and fantasy micro-dramas for TikTok, Instagram Reels, and YouTube Shorts. Each episode is 60-90 seconds of polished, character-driven storytelling that lives on someone's phone, often watched without sound.
You'll work at the intersection of cutting-edge AI tools and deliberate creative craft. This means:
• Striking visuals that stop the scroll and draw the eye
• Believable characters who feel real, episode to episode
• Natural-sounding voices and carefully placed audio that works whether the sound is on or off
• Purposeful editing where every cut serves the story and the viewer's emotional journey
• Style in service of story—the look and feel should match the world and tone of the series
You'll move fast, but never at the expense of craft. Every frame should feel intentional
What We're Looking For
• 2-5 years of professional experience working with AI tools for video, image, or audio generation
• Solid understanding of editing fundamentals: frame composition, pacing, visual flow, and how cuts guide audience attention
• Prompt engineering skills -ability to write precise, iterative prompts that yield the exact creative output you need
• Portfolio demonstrating completed AI-generated video work or traditional video edited to a high standard
• Ability to work independently and ship fast without constant creative direction
• Familiarity with vertical video format requirements and platform-specific best practices
It will be a plus:
• Experience in classic video production (films, TV series, shows)
• Understanding of dramaturgy and story construction
• The full cycle of AI video creation - from idea to final
• Experience working with short drama or creating AI content for TikTok / YouTube
THE RECRUITMENT PROCESS
• Apply - A simple form that helps us know who’s stepping into our world.
• Text Task - A small real-world challenge so we can see how you approach problems in action.
• Hire - if we align, we'll invite you to join our team for a test trial period.
FIXED SERVICE FEE
Up to 2500 euros per month after taxes (depending on your skills, competencies, and experience, we'd be happy to negotiate your salary).
Perks & Benefits
• Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness.
• Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
• A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
• Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
• A budget for your home office setup so you’re comfortable working how you like and where you like.
• Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
• Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
• For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
Откликнуться на вакансию
Foxelli Group
📍 Nicosia
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us.
At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously.
If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career.
What You'll Do
We create premium AI short films and series that make people feel something. You'll be a key part of building this, producing daily episodes of dark romance, horror, thriller, and fantasy micro-dramas for TikTok, Instagram Reels, and YouTube Shorts. Each episode is 60-90 seconds of polished, character-driven storytelling that lives on someone's phone, often watched without sound.
You'll work at the intersection of cutting-edge AI tools and deliberate creative craft. This means:
• Striking visuals that stop the scroll and draw the eye
• Believable characters who feel real, episode to episode
• Natural-sounding voices and carefully placed audio that works whether the sound is on or off
• Purposeful editing where every cut serves the story and the viewer's emotional journey
• Style in service of story—the look and feel should match the world and tone of the series
You'll move fast, but never at the expense of craft. Every frame should feel intentional
What We're Looking For
• 2-5 years of professional experience working with AI tools for video, image, or audio generation
• Solid understanding of editing fundamentals: frame composition, pacing, visual flow, and how cuts guide audience attention
• Prompt engineering skills -ability to write precise, iterative prompts that yield the exact creative output you need
• Portfolio demonstrating completed AI-generated video work or traditional video edited to a high standard
• Ability to work independently and ship fast without constant creative direction
• Familiarity with vertical video format requirements and platform-specific best practices
It will be a plus:
• Experience in classic video production (films, TV series, shows)
• Understanding of dramaturgy and story construction
• The full cycle of AI video creation - from idea to final
• Experience working with short drama or creating AI content for TikTok / YouTube
THE RECRUITMENT PROCESS
• Apply - A simple form that helps us know who’s stepping into our world.
• Text Task - A small real-world challenge so we can see how you approach problems in action.
• Hire - if we align, we'll invite you to join our team for a test trial period.
FIXED SERVICE FEE
Up to 2500 euros per month after taxes (depending on your skills, competencies, and experience, we'd be happy to negotiate your salary).
Perks & Benefits
• Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness.
• Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
• A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
• Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
• A budget for your home office setup so you’re comfortable working how you like and where you like.
• Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
• Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
• For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
Откликнуться на вакансию
2026-09-19 03:06:11
Data Scientist – Generative AI & Advanced Analytics
Eurobank Limited
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Why Eurobank Limited?
Are you enthusiastic about having a positive impact and working with a great team?
Join us at Eurobank where Prosperity needs Pioneers! You will belong in a banking community that drives innovation, strives to exceed customers’ expectations, commits to sustainable practices, and combines global insights with local expertise to deliver exceptional value to all our stakeholders. Take advantage of multiple learning & development opportunities and a workplace where you will feel valued and respected!
But hold on! We’re looking for more than just a great CV: We’re looking for your unique personality.
Apply today and be part of a team as unique as you!
Position Overview
We are seeking motivated and talented professionals for the position of Data Scientist to join our Data & Analytics Department. The Data & Analytics Department is a centralized team supporting business growth and control functions by leveraging data, advanced analytics, machine learning and AI to improve customer experience, decisioning, efficiency, risk management and compliance.
As a Data Scientist, you will work on high-impact use cases across Advanced Analytics, Machine Learning and Generative AI, transforming data into insights, models and practical solutions that support business decision-making and process optimization. We are open to candidates with different levels of experience, provided they demonstrate strong analytical capability and relevant exposure to GenAI, Machine Learning or Advanced Analytics.
Main Responsibilities
• Generative AI & LLM use cases: Explore, design and contribute to practical solutions such as document intelligence, knowledge extraction, summarisation, classification, question-answering and intelligent assistants.
• Advanced Analytics & Machine Learning: Develop statistical and machine learning models to address business problems and support data-driven decision-making.
• Data exploration & insights: Analyse large and complex datasets to identify patterns, trends, opportunities and actionable business insights.
• Structured and unstructured data: Work with customer, transactional, operational and text/document data.
• Model lifecycle: Participate in data science and AI initiatives from problem definition and experimentation through to evaluation, implementation support and continuous improvement.
• Model evaluation: Assess model performance, robustness, explainability, output quality, business relevance and potential risks.
• Business translation: Translate business needs into analytical approaches, success criteria, data requirements and expected impact.
• Stakeholder communication: Present findings, model outputs and recommendations clearly to technical and non-technical audiences.
• Capability building: Contribute to analytical methodologies, reusable assets, prompts, evaluation approaches and knowledge sharing.
Candidate Profile
• Education: Undergraduate and/or postgraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, Econometrics, Quantitative Finance or a related quantitative / technical field.
• Generative AI: Demonstrable exposure to Generative AI, LLMs, NLP, prompt engineering, RAG, AI agents, model evaluation or related technologies, through professional work, academic work, prototypes or relevant projects
• Advanced analytics / ML background: Experience or strong knowledge in data science, machine learning, statistical modelling, predictive analytics, data mining or advanced analytics.
• Programming skills: Good knowledge of programming for data analysis, modelling and experimentation, preferably in Python. SQL, R, SAS or other analytical tools will be considered an advantage.
• Data handling: Experience working with large volumes of data, data quality, data preparation and analytical data flows.
• Model lifecycle: Familiarity with exploratory analysis, feature engineering, model training, validation, evaluation, monitoring and performance interpretation.
• Business mindset: Ability to understand business needs and translate technical concepts into practical insights and recommendations.
• Problem-solving: Strong analytical thinking, attention to detail and ability to structure complex problems.
• Communication skills: Excellent communication and interpersonal skills with technical and non-technical stakeholders.
• Banking experience: Previous experience in banking or financial services will be considered an advantage.
• Languages: Fluency in Greek and English, both verbal and written.
What's in it for you:
• Competitive remuneration package with an annual gross salary of up to €45,000. The final salary will be determined based on qualifications, years of relevant experience, and overall suitability for the role.
• Learning & Development:
• - Upskilling, Reskilling & Career Guidance - access to professional development.
• - International-Standard Training Programs - participate in a wide range of learning initiatives designed to build essential skills and knowledge.
• - Future-Ready Skill Building - develop the capabilities needed to thrive in a dynamic and evolving banking environment.
• - Investment in People - we invest in our employees’ growth to enhance both their adaptability and Eurobank’s long-term success.
Wellbeing:
• Medical Coverage & Life Insurance.
• Provident Fund (current employer’s contribution 9%).
• Team building & wellbeing activities.
• Engage in volunteering activities through our Eurobank’s Volunteers program.
• Annual leave entitlement which ranges from 28 to 34 working days per year depending on the years of continuous service at the Bank.
Join us!
• If you think you are the right fit for this role, we'd like to hear from you! Apply by 27th of September 2026.
• Submit your Online Application Form through Open Vacancies by selecting the specific vacancy.
• Only shortlisted candidates will be contacted.
• For any inquiries or questions related to the application process, you may contact the HR Business Partners team at recruitment@eurobank.cy
• Find us on LinkedIn so you can stay updated on our latest news!
• At Eurobank Limited, we are committed to providing equal employment opportunities and prohibit all forms of discrimination. All applications will be treated fairly and with the utmost confidentiality.
Откликнуться на вакансию
Eurobank Limited
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Why Eurobank Limited?
Are you enthusiastic about having a positive impact and working with a great team?
Join us at Eurobank where Prosperity needs Pioneers! You will belong in a banking community that drives innovation, strives to exceed customers’ expectations, commits to sustainable practices, and combines global insights with local expertise to deliver exceptional value to all our stakeholders. Take advantage of multiple learning & development opportunities and a workplace where you will feel valued and respected!
But hold on! We’re looking for more than just a great CV: We’re looking for your unique personality.
Apply today and be part of a team as unique as you!
Position Overview
We are seeking motivated and talented professionals for the position of Data Scientist to join our Data & Analytics Department. The Data & Analytics Department is a centralized team supporting business growth and control functions by leveraging data, advanced analytics, machine learning and AI to improve customer experience, decisioning, efficiency, risk management and compliance.
As a Data Scientist, you will work on high-impact use cases across Advanced Analytics, Machine Learning and Generative AI, transforming data into insights, models and practical solutions that support business decision-making and process optimization. We are open to candidates with different levels of experience, provided they demonstrate strong analytical capability and relevant exposure to GenAI, Machine Learning or Advanced Analytics.
Main Responsibilities
• Generative AI & LLM use cases: Explore, design and contribute to practical solutions such as document intelligence, knowledge extraction, summarisation, classification, question-answering and intelligent assistants.
• Advanced Analytics & Machine Learning: Develop statistical and machine learning models to address business problems and support data-driven decision-making.
• Data exploration & insights: Analyse large and complex datasets to identify patterns, trends, opportunities and actionable business insights.
• Structured and unstructured data: Work with customer, transactional, operational and text/document data.
• Model lifecycle: Participate in data science and AI initiatives from problem definition and experimentation through to evaluation, implementation support and continuous improvement.
• Model evaluation: Assess model performance, robustness, explainability, output quality, business relevance and potential risks.
• Business translation: Translate business needs into analytical approaches, success criteria, data requirements and expected impact.
• Stakeholder communication: Present findings, model outputs and recommendations clearly to technical and non-technical audiences.
• Capability building: Contribute to analytical methodologies, reusable assets, prompts, evaluation approaches and knowledge sharing.
Candidate Profile
• Education: Undergraduate and/or postgraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, Econometrics, Quantitative Finance or a related quantitative / technical field.
• Generative AI: Demonstrable exposure to Generative AI, LLMs, NLP, prompt engineering, RAG, AI agents, model evaluation or related technologies, through professional work, academic work, prototypes or relevant projects
• Advanced analytics / ML background: Experience or strong knowledge in data science, machine learning, statistical modelling, predictive analytics, data mining or advanced analytics.
• Programming skills: Good knowledge of programming for data analysis, modelling and experimentation, preferably in Python. SQL, R, SAS or other analytical tools will be considered an advantage.
• Data handling: Experience working with large volumes of data, data quality, data preparation and analytical data flows.
• Model lifecycle: Familiarity with exploratory analysis, feature engineering, model training, validation, evaluation, monitoring and performance interpretation.
• Business mindset: Ability to understand business needs and translate technical concepts into practical insights and recommendations.
• Problem-solving: Strong analytical thinking, attention to detail and ability to structure complex problems.
• Communication skills: Excellent communication and interpersonal skills with technical and non-technical stakeholders.
• Banking experience: Previous experience in banking or financial services will be considered an advantage.
• Languages: Fluency in Greek and English, both verbal and written.
What's in it for you:
• Competitive remuneration package with an annual gross salary of up to €45,000. The final salary will be determined based on qualifications, years of relevant experience, and overall suitability for the role.
• Learning & Development:
• - Upskilling, Reskilling & Career Guidance - access to professional development.
• - International-Standard Training Programs - participate in a wide range of learning initiatives designed to build essential skills and knowledge.
• - Future-Ready Skill Building - develop the capabilities needed to thrive in a dynamic and evolving banking environment.
• - Investment in People - we invest in our employees’ growth to enhance both their adaptability and Eurobank’s long-term success.
Wellbeing:
• Medical Coverage & Life Insurance.
• Provident Fund (current employer’s contribution 9%).
• Team building & wellbeing activities.
• Engage in volunteering activities through our Eurobank’s Volunteers program.
• Annual leave entitlement which ranges from 28 to 34 working days per year depending on the years of continuous service at the Bank.
Join us!
• If you think you are the right fit for this role, we'd like to hear from you! Apply by 27th of September 2026.
• Submit your Online Application Form through Open Vacancies by selecting the specific vacancy.
• Only shortlisted candidates will be contacted.
• For any inquiries or questions related to the application process, you may contact the HR Business Partners team at recruitment@eurobank.cy
• Find us on LinkedIn so you can stay updated on our latest news!
• At Eurobank Limited, we are committed to providing equal employment opportunities and prohibit all forms of discrimination. All applications will be treated fairly and with the utmost confidentiality.
Откликнуться на вакансию
2026-09-19 03:06:06
Software Engineer in Test (Remote, Greece or Cyprus)
LearnWorlds
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
LearnWorlds
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
At LearnWorlds, we believe learning is the original human superpower, the force that turns knowledge into products, skills, and progress.
Our platform helps creators, educators, and organizations in more than 150 countries turn expertise into scalable learning experiences that sell, teach, and transform. As AI floods the world with information, learning becomes the only countermeasure, the skill that keeps humans creative, relevant, and in control.
The winners won't be those who automate fastest, but those who learn and adapt fastest. They'll need platforms that turn knowledge into teachable systems that scale, and that's exactly what LearnWorlds enables.
Build. Ship. Test. Improve. (Repeat.)
We're redefining how people create and share online learning and we're doing it with engineers who care deeply about product quality, clean architecture, and meaningful impact. We're a remote-first, fast-growing EdTech SaaS with a global footprint.
Our Engineering team builds the core experiences that thousands of educators and learners rely on daily. We move fast, we collaborate tightly, and we're constantly leveling up, both as individuals and as a team.
We're now looking for an experienced Software Engineer in Test to own automation outcomes for assigned product areas. You will build and maintain reliable Playwright and TypeScript automated tests using the Page Object Model (POM) pattern, and help teams decide what should be automated and what should stay manual or exploratory. You'll direct AI Agents daily to plan, generate, debug and maintain automation. It's how the work ships here, not a perk.
You'll join an established and fast-paced environment with a focus on ensuring quality deliveries and exceptional experience to all our users.
If you're a engineer who loves solving real quality challenges, writing maintainable test code, directing AI agents with judgment, and building automation that teams actually trust, this is where you'll do your best work.
What You'll Be Doing
• Own your product area. Join planning before the code exists, while scope, risk, data, and environments are still cheap to change
• Pick the right layer. API where it's enough, E2E where only a browser will do, smoke for release signal, the cheapest test that still catches the bug
• Build and evolve the framework. Page objects, flows, typed API clients, fixtures, code other engineers read and extend
• Work across Product and Engineering. Push for testability while the design is still open, and keep automation useful instead of noisy
• Design Phase. Formulate efficient and deterministic test scenarios and create comprehensive test strategy plans
• Own CI e2e. Fast, deterministic, diagnosable. Fix flakiness at the root cause; a rerun is not a fix
• Report coverage and risk honestly. What automation covers, what it doesn't, and what still needs manual or exploratory testing
• Report defects developers can act on. Identify, categorize, and report bugs and errors to development teams with insightful information (screenshots, traces, error messages, stack traces, etc.), separating product defects from automation defects, environment issues, and data problems
• Direct AI Agents, then own the output. Plan scope, generate tests, investigate failures and reject what's flaky, unasserted, or five times larger than the task
• Build the AI tooling layer. Reusable agent skills, subagent definitions, and the machine-readable convention rules everyone's tests get reviewed against locators, page-object structure, spec placement, test IDs, so generated tests are correct by default
• Shape the testing standards, don't just follow them
Why You'll Love This Role
• You'll work on real features used by thousands of educators and, most importantly, tens of millions of learners around the world
• You'll build and evolve test automation that scales with our growing platform and ensures quality at every release
• You'll be part of a tight-knit team where your ideas matter, and your work directly impacts product quality
• You'll grow fast—technically and professionally in a team that's generous with knowledge and big on collaboration
• You'll own meaningful product-area automation, not just isolated test cases, and help teams ship faster
• You'll work in an engineering culture that treats Agentic AI as a real skill: prompt, steer, review, and ship faster without lowering the bar for test quality
Requirements
Must-Haves
• At least 3 years of professional experience as a Quality Assurance / Software Testing engineer, with strong automation ownership
• Strong proficiency in TypeScript and modern JavaScript/TypeScript development practices
• Hands-on experience with Playwright test automation framework (or a comparable modern web automation framework) and Page Object Model (POM) design pattern
• Experience with version control systems (Git) and CI/CD pipelines (GitHub Actions or similar)
• Excellent analytical thinking to produce and document test scenarios, acceptance criteria, and test strategy plans
• Comfortable at more than one layer, API, UI, cross-browser, responsive, and able to say which one a given risk belongs to
• Excellent debugging, problem-solving, and performance optimization skills
• Close attention to detail and a product-oriented mindset, automation is a tool for product confidence, not the goal by itself
• Excellent communication skills with the ability to explain technical concepts, coverage, gaps, and remaining risk
• Team player with the ability to get things done in a non-hierarchical flat organization
• Excellent prioritization, estimation, and scheduling skills
• Ability to learn the LearnWorlds platform quickly and connect automation decisions to real customer workflows
• Proven Agentic AI skills: you regularly use and improve AI agents to complete multi-step test engineering work—planning, generating, debugging, and maintaining automation
• Strong judgment over AI output: you review, steer, and reject generated tests that are flaky, insecure, poorly structured, or disconnected from real risk
Nice-to-Haves
• Experience with Docker, Kubernetes, or containerized test environments
• Experience in EdTech, LMS systems, payments, ecommerce, analytics, mobile, or other complex SaaS products
• Experience with test management tools (TestRail, Zephyr, or similar)
• Familiarity with cloud technologies like AWS, Azure, or Google Cloud
• Experience with backend/API automation beyond UI flows
• GitHub repos, open-source contributions, or personal projects you're proud of
You'll Thrive Here If You...
• Prefer ownership over hand-holding and clarity over bureaucracy
• Think speed and quality can (and should) co-exist
• Ask "why" before "how," and make decisions with context, not just checklists
• Love clean code, good architecture, and continuous improvement
• Embrace feedback, stay curious, and enjoy sharing knowledge
• Treat AI agents as collaborators you direct with clear intent, not as a shortcut around engineering judgment
• Believe AI won't replace QA engineers—but engineers who work well with agents will outperform those who don't
Benefits
• Private life and health insurance plan
• Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
• Your personal annual training budget
• An annual home office allowance to set up your personal space
• Company laptop
• 23 days of paid time off
• 3 early summer Fridays in July and August
• Access to AI tools at work
• A free LearnWorlds School to build and sell your own courses
• Company retreats & other onsite team activities (see the video of our latest retreat)
Откликнуться на вакансию
2026-09-19 03:05:23
AI Adoption Manager
Neurons Lab
📍 Cyprus
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Objective
Lead AI adoption across the client teams — from first assessment, through workshops and hands-on enablement, to self-sufficient daily AI use, with adoption reported as measured business impact.
About The Project
Neurons Lab delivers AI education and adoption programs for enterprise clients, mainly in financial services (banking, insurance, and capital markets). This role leads those programs inside the customer's own teams — taking each new client from first assessment, through workshops and hands-on enablement, to confident daily AI use.
The AI Adoption Manager is the face of the program with the client. Embedded in the customer's business teams, the role runs the full education and adoption cycle and carries the customer success side of the engagement: building the relationship, keeping adoption healthy, reporting outcomes to client stakeholders, and surfacing where the account can grow. Because most clients operate in regulated financial-services environments, every program runs inside the client's data-governance, compliance, and responsible-AI guardrails.
KPIs
• Post-workshop AI adoption per team (primary KPI)
• Measured business impact per team — time saved, cycle-time, or effort reduced against a baseline captured before enablement
• Number of active champions identified, developed, and made visible to client leadership
• Cadence adherence — recurring sessions held on rhythm, response times measured in hours, not days
• Teams released as self-sufficient; qualified opportunities passed to the technical tracks
• Engagement growth — follow-up workshops, recurring enablement, new scopes originating from business team engagement
Areas of responsibility
• Assess and prioritize — map each team's workflows and current AI usage, turn their real pain points into a prioritized enablement plan, and rule out use cases where the payoff isn't real
• Deliver enablement end to end — design and run workshops (personally and with external trainers) that target each team's own use cases and produce walk-away skills, prompts, and tools they use the next day
• Build reusable assets — maintain a shared library of approved prompts, skills, and templates teams can reuse without you in the room
• Grow champions and adoption — develop champions inside each team, surface and remove adoption blockers, and hold a steady cadence with the business teams
• Keep it inside the guardrails — align every plan with the client's data-governance, acceptable-use, and responsible-AI policies, working with IT, security, and legal
• Measure and report value — baseline each team, track adoption against targets, and report progress, risks, and ROI to client sponsors
• Drive to self-sufficiency and expansion — hand teams over once they sustain AI use on their own, pass engineering-grade work to the technical track, and surface new scopes for the account
Skills
• Workshop and training design and delivery, with strong live facilitation
• Change management and adoption, grounded in instructional design and adult learning
• Practical, daily AI fluency (Claude, ChatGPT, agentic workflows, prompt engineering) and the ability to rebuild an expert's workflow as an AI-assisted one for non-technical users
• Customer success — trusted client relationships, healthy adoption, and usage turned into demonstrated value
• Strategic program design and clear executive, cross-functional communication, with comfort in ambiguity
Knowledge
• Modern AI tools, agentic workflows, and prompt engineering, applied practically and daily
• Change management and adoption psychology — what makes change stick from within
• AI governance and responsible-use frameworks — data classification, acceptable-use, and responsible-AI policy, enough to keep enablement inside client guardrails
• Enablement/training business or consulting background
Experience
• 5+ years in change management, enablement, digital-transformation consulting, or enterprise software rollout, including at least one full-cycle deployment
• Top-tier management-consulting experience (e.g. McKinsey, BCG, Bain) is a strong plus
• Customer success experience strongly desired — owning client relationships, adoption health, and value realization
• Hands-on experience driving technology or process adoption inside organizations
• Track record designing and delivering workshops/training sessions personally
• Experience running assessments, feedback sessions, and executive updates
• Fluent English required
What we offer
• Competitive compensation — a monthly base plus expansion revenue upside
• Fully remote — outcomes over attendance
• Unlimited PTO
• Full-time contractor engagement with a fast-growing AI consultancy at the forefront of enterprise transformation
Откликнуться на вакансию
Neurons Lab
📍 Cyprus
💼 Full time
🏠 Remote for Cyprus
Описание вакансии
Objective
Lead AI adoption across the client teams — from first assessment, through workshops and hands-on enablement, to self-sufficient daily AI use, with adoption reported as measured business impact.
About The Project
Neurons Lab delivers AI education and adoption programs for enterprise clients, mainly in financial services (banking, insurance, and capital markets). This role leads those programs inside the customer's own teams — taking each new client from first assessment, through workshops and hands-on enablement, to confident daily AI use.
The AI Adoption Manager is the face of the program with the client. Embedded in the customer's business teams, the role runs the full education and adoption cycle and carries the customer success side of the engagement: building the relationship, keeping adoption healthy, reporting outcomes to client stakeholders, and surfacing where the account can grow. Because most clients operate in regulated financial-services environments, every program runs inside the client's data-governance, compliance, and responsible-AI guardrails.
KPIs
• Post-workshop AI adoption per team (primary KPI)
• Measured business impact per team — time saved, cycle-time, or effort reduced against a baseline captured before enablement
• Number of active champions identified, developed, and made visible to client leadership
• Cadence adherence — recurring sessions held on rhythm, response times measured in hours, not days
• Teams released as self-sufficient; qualified opportunities passed to the technical tracks
• Engagement growth — follow-up workshops, recurring enablement, new scopes originating from business team engagement
Areas of responsibility
• Assess and prioritize — map each team's workflows and current AI usage, turn their real pain points into a prioritized enablement plan, and rule out use cases where the payoff isn't real
• Deliver enablement end to end — design and run workshops (personally and with external trainers) that target each team's own use cases and produce walk-away skills, prompts, and tools they use the next day
• Build reusable assets — maintain a shared library of approved prompts, skills, and templates teams can reuse without you in the room
• Grow champions and adoption — develop champions inside each team, surface and remove adoption blockers, and hold a steady cadence with the business teams
• Keep it inside the guardrails — align every plan with the client's data-governance, acceptable-use, and responsible-AI policies, working with IT, security, and legal
• Measure and report value — baseline each team, track adoption against targets, and report progress, risks, and ROI to client sponsors
• Drive to self-sufficiency and expansion — hand teams over once they sustain AI use on their own, pass engineering-grade work to the technical track, and surface new scopes for the account
Skills
• Workshop and training design and delivery, with strong live facilitation
• Change management and adoption, grounded in instructional design and adult learning
• Practical, daily AI fluency (Claude, ChatGPT, agentic workflows, prompt engineering) and the ability to rebuild an expert's workflow as an AI-assisted one for non-technical users
• Customer success — trusted client relationships, healthy adoption, and usage turned into demonstrated value
• Strategic program design and clear executive, cross-functional communication, with comfort in ambiguity
Knowledge
• Modern AI tools, agentic workflows, and prompt engineering, applied practically and daily
• Change management and adoption psychology — what makes change stick from within
• AI governance and responsible-use frameworks — data classification, acceptable-use, and responsible-AI policy, enough to keep enablement inside client guardrails
• Enablement/training business or consulting background
Experience
• 5+ years in change management, enablement, digital-transformation consulting, or enterprise software rollout, including at least one full-cycle deployment
• Top-tier management-consulting experience (e.g. McKinsey, BCG, Bain) is a strong plus
• Customer success experience strongly desired — owning client relationships, adoption health, and value realization
• Hands-on experience driving technology or process adoption inside organizations
• Track record designing and delivering workshops/training sessions personally
• Experience running assessments, feedback sessions, and executive updates
• Fluent English required
What we offer
• Competitive compensation — a monthly base plus expansion revenue upside
• Fully remote — outcomes over attendance
• Unlimited PTO
• Full-time contractor engagement with a fast-growing AI consultancy at the forefront of enterprise transformation
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2026-09-19 03:05:19
Business Analyst | Deloitte Actuarial Services - Nicosia, Cyprus
Deloitte
📍 Nicosia
💼 Full time
🏠 Hybrid
Описание вакансии
Position: Business Analyst | Deloitte Actuarial Services
Deloitte Actuarial Services Limited is rapidly expanding, and is looking to recruit a dynamic, committed and reliable Actuarial or Data Analyst professionals to join us at the level of Business Analyst, based at our Nicosia Office.
The Role
Never before have we had so much data at our fingertips and Deloitte’s Actuaries are driven by their passion to understand, interpret and leverage data to help solve complex business issues. Across a wide range of industries, Deloitte’s clients depend on the Actuarial teams to help them understand their customers better, reduce operating costs and drive performance.
The services offered by Deloitte Actuarial Services Limited include statutory actuarial work, advisory services, analytics and audit support to life and non-life insurers in Europe and the Middle East.
The successful candidates’ key responsibilities will include, among others:
• Support life and/or non-life insurance valuation exercises
• Support life and/or non-life pricing projects
• Data analytics and artificial intelligence
• Support with product development including but not limited to actuarial modelling solutions
• Work across various disciplines and on clients’ premises abroad as requested from time to time
If you welcome the challenge of turning complex data into recommendations that help clients make better informed and strategic decisions, this is the right position for you!
Requirements
We are looking for hardworking, self-motivated professionals who work well in a team, are able to resolve problems quickly and efficiently, can perform well under pressure and have strong business acumen.
• Undergraduate degree in Actuarial studies, Data Science or Mathematics, from a reputable University
• Studying or willingness to study towards the obtainment of the IFoA qualification
• Any previous work experience in a similar role will be considered an advantage
• Experience on life and health insurance related projects will be considered an advantage
• Excellent analytical and reporting skills
• Strong interpersonal, communication and influencing skills
• Strong computer literacy, including Microsoft Office, R, Python
• Excellent command of the English language, both verbal and written
Benefits
• Competitive remuneration package
• Provident Fund
• Medical coverage and life insurance
• Continuous professional development and accelerated career growth
• Global mobility opportunities and international experience
• Flexible hours and hybrid working (adapted to team-specific operational requirements)
• Friday afternoon off throughout the year
• 34-hour week between July-September, including 2 afternoons off on Wednesday and Friday
• Public Holidays falling on weekends given as paid Wellbeing Day off on the Friday before
• Dress for your day
• Special types of leave
• Deloitte Employee Assistance Program, providing 24/7/365 specialist counselling support
• Neck massage
• Sports teams
• Working Parents Flexible/Reduced Hours Scheme
• Prenatal & Postpartum Support Program
• Lactation room
• New Dad Leave
• Wedding & New Baby gifts
• Free parking
Why Deloitte?
• Be the true you! We foster diversity and inclusion and encourage you to bring your authentic self to work. Explore, question and collaborate while building a career that inspires and energises you.
• Never stop growing! Diversity of thought makes us stronger. At Deloitte, we tailor a personalized learning experience, offering you the opportunity to grow at your own pace and achieve maximum impact.
• We practice what we preach! As a Purpose-led organisation, at the heart of everything we do is a set of timeless principles and unifying values.
Applications
All applications will be treated with the strictest confidentiality.
Join us to make an impact together - Apply now -
Only shortlisted candidates will be contacted.
Откликнуться на вакансию
Deloitte
📍 Nicosia
💼 Full time
🏠 Hybrid
Описание вакансии
Position: Business Analyst | Deloitte Actuarial Services
Deloitte Actuarial Services Limited is rapidly expanding, and is looking to recruit a dynamic, committed and reliable Actuarial or Data Analyst professionals to join us at the level of Business Analyst, based at our Nicosia Office.
The Role
Never before have we had so much data at our fingertips and Deloitte’s Actuaries are driven by their passion to understand, interpret and leverage data to help solve complex business issues. Across a wide range of industries, Deloitte’s clients depend on the Actuarial teams to help them understand their customers better, reduce operating costs and drive performance.
The services offered by Deloitte Actuarial Services Limited include statutory actuarial work, advisory services, analytics and audit support to life and non-life insurers in Europe and the Middle East.
The successful candidates’ key responsibilities will include, among others:
• Support life and/or non-life insurance valuation exercises
• Support life and/or non-life pricing projects
• Data analytics and artificial intelligence
• Support with product development including but not limited to actuarial modelling solutions
• Work across various disciplines and on clients’ premises abroad as requested from time to time
If you welcome the challenge of turning complex data into recommendations that help clients make better informed and strategic decisions, this is the right position for you!
Requirements
We are looking for hardworking, self-motivated professionals who work well in a team, are able to resolve problems quickly and efficiently, can perform well under pressure and have strong business acumen.
• Undergraduate degree in Actuarial studies, Data Science or Mathematics, from a reputable University
• Studying or willingness to study towards the obtainment of the IFoA qualification
• Any previous work experience in a similar role will be considered an advantage
• Experience on life and health insurance related projects will be considered an advantage
• Excellent analytical and reporting skills
• Strong interpersonal, communication and influencing skills
• Strong computer literacy, including Microsoft Office, R, Python
• Excellent command of the English language, both verbal and written
Benefits
• Competitive remuneration package
• Provident Fund
• Medical coverage and life insurance
• Continuous professional development and accelerated career growth
• Global mobility opportunities and international experience
• Flexible hours and hybrid working (adapted to team-specific operational requirements)
• Friday afternoon off throughout the year
• 34-hour week between July-September, including 2 afternoons off on Wednesday and Friday
• Public Holidays falling on weekends given as paid Wellbeing Day off on the Friday before
• Dress for your day
• Special types of leave
• Deloitte Employee Assistance Program, providing 24/7/365 specialist counselling support
• Neck massage
• Sports teams
• Working Parents Flexible/Reduced Hours Scheme
• Prenatal & Postpartum Support Program
• Lactation room
• New Dad Leave
• Wedding & New Baby gifts
• Free parking
Why Deloitte?
• Be the true you! We foster diversity and inclusion and encourage you to bring your authentic self to work. Explore, question and collaborate while building a career that inspires and energises you.
• Never stop growing! Diversity of thought makes us stronger. At Deloitte, we tailor a personalized learning experience, offering you the opportunity to grow at your own pace and achieve maximum impact.
• We practice what we preach! As a Purpose-led organisation, at the heart of everything we do is a set of timeless principles and unifying values.
Applications
All applications will be treated with the strictest confidentiality.
Join us to make an impact together - Apply now -
Only shortlisted candidates will be contacted.
Откликнуться на вакансию
2026-09-19 03:05:18
AI Product and Game Technology Lead
Emerald Zebra Recruitment & Executive Search
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Cyprus | Hybrid / Flexible
AI Product & Game Technology Lead, Limassol, Cyprus.
Applied AI / Full-Stack / Founding Engineer
Build the technology behind a new generation of leadership simulation games.
Our client is developing an AI-native behavioural intelligence platform delivered through in-person, multi-participant simulation games. The experience combines live human interaction with voice capture, conversational AI, multi-agent AI and behavioural analytics to reveal how people actually lead, collaborate, negotiate and make decisions in complex situations.
The games are played in person by leadership teams, with technology providing each participant with their role, traits, objectives and instructions, together with an embedded AI Oracle that acts as a private strategic sounding board throughout the experience.
The company is now building the technology platform that will allow multiple games to be developed, delivered and ultimately licensed to organisations and consultants internationally.
The role
We are looking for a highly capable, hands-on technology professional to help turn the existing game concept into a fully functioning product.
You will work directly with the founders and creative team, building and integrating the technology across:
• Mobile-first player experiences
• AI Oracles and AI game characters
• LLMs, conversational and agentic AI
• Voice capture, speech-to-text and speaker identification
• Player and AI interaction data
• AI-driven behavioural analysis
• Individual and collective reporting
• Game configuration and deployment
• The underlying platform for future games
This is not an infrastructure role or a traditional CTO position. We are looking for a builder who enjoys prototyping, testing, problem-solving and getting technology into the hands of real users.
About you
You may be an AI Product Engineer, Applied AI Engineer, Full-Stack Developer, Founding Engineer, Technical Product Builder or Technical Lead with experience taking technology from concept to functioning product.
You should be comfortable working hands-on with modern AI technologies and APIs and have strong product instincts.
Experience with voice/audio AI, conversational AI, behavioural analytics, gaming, simulations, learning & development or assessment technology would be highly relevant.
Most importantly, you enjoy solving problems where the answer doesn't already exist.
The opportunity
This is an early-stage opportunity to help shape a product at the intersection of AI, technology, behavioural science, leadership and game design, with Cyprus as the base for its technology and creative development.
If you want to build something genuinely new rather than manage someone else's technology, we'd like to hear from you.
Откликнуться на вакансию
Emerald Zebra Recruitment & Executive Search
📍 Limassol
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
Cyprus | Hybrid / Flexible
AI Product & Game Technology Lead, Limassol, Cyprus.
Applied AI / Full-Stack / Founding Engineer
Build the technology behind a new generation of leadership simulation games.
Our client is developing an AI-native behavioural intelligence platform delivered through in-person, multi-participant simulation games. The experience combines live human interaction with voice capture, conversational AI, multi-agent AI and behavioural analytics to reveal how people actually lead, collaborate, negotiate and make decisions in complex situations.
The games are played in person by leadership teams, with technology providing each participant with their role, traits, objectives and instructions, together with an embedded AI Oracle that acts as a private strategic sounding board throughout the experience.
The company is now building the technology platform that will allow multiple games to be developed, delivered and ultimately licensed to organisations and consultants internationally.
The role
We are looking for a highly capable, hands-on technology professional to help turn the existing game concept into a fully functioning product.
You will work directly with the founders and creative team, building and integrating the technology across:
• Mobile-first player experiences
• AI Oracles and AI game characters
• LLMs, conversational and agentic AI
• Voice capture, speech-to-text and speaker identification
• Player and AI interaction data
• AI-driven behavioural analysis
• Individual and collective reporting
• Game configuration and deployment
• The underlying platform for future games
This is not an infrastructure role or a traditional CTO position. We are looking for a builder who enjoys prototyping, testing, problem-solving and getting technology into the hands of real users.
About you
You may be an AI Product Engineer, Applied AI Engineer, Full-Stack Developer, Founding Engineer, Technical Product Builder or Technical Lead with experience taking technology from concept to functioning product.
You should be comfortable working hands-on with modern AI technologies and APIs and have strong product instincts.
Experience with voice/audio AI, conversational AI, behavioural analytics, gaming, simulations, learning & development or assessment technology would be highly relevant.
Most importantly, you enjoy solving problems where the answer doesn't already exist.
The opportunity
This is an early-stage opportunity to help shape a product at the intersection of AI, technology, behavioural science, leadership and game design, with Cyprus as the base for its technology and creative development.
If you want to build something genuinely new rather than manage someone else's technology, we'd like to hear from you.
Откликнуться на вакансию
2026-09-19 03:05:14
5G/6G Communications Engineer
eBOS
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
About eBOS
eBOS Technologies Ltd, a Cypriot owned SME, is one of the most innovative and leading software and technology companies in Cyprus and across Europe. With 23 years of proven success and a strong focus on Research & Development (R&D), we deliver cutting-edge digital solutions to enterprises worldwide.
The Role
We are seeking an experienced full-time 5G/6G Communications Engineer to join our R&D Department. This is a unique opportunity to play an active role in both EU research projects and commercial innovation initiatives, while working in a dynamic, collaborative, and forward-thinking environment.
As part of the 5G/6G Communications Team, you will:
• Collaborate with research team members to manage, maintain, and upgrade the company’s 5G testbed, which currently includes two laboratory-grade 5G base stations, a state-of-the-art USRP, and a 5G Data Centre.
• Operate and reconfigure the back-end of the 5G testbed, including servers, VNFs, and their orchestration via Open-Source MANO in a Software Defined Network (controller/compute nodes setup).
• Work closely with R&D Project Managers to implement technical requirements and meet obligations stemming from participation in EU-funded 5G/6G R&D&I projects.
• Represent eBOS at international consortia, meetings, trainings, workshops, events, and conferences.
• Contribute to the preparation of project deliverables and technical reports.
• Participate in experimental tasks of existing and upcoming research projects related to the 5G testbed.
• Collaborate effectively in multicultural environments, sometimes under pressure, ensuring timely delivery of results and compliance with KPI targets.
• Work under the guidance of the Head of the 5G/6G Communications Team, ensuring the delivery of high-quality outcomes.
Minimum Qualifications & Experience
• Bachelor’s, Master’s, or PhD degree in ICT, Digital Communications, Telecommunications Engineering, or a closely related field, with a focus on 5G and beyond mobile communication technologies.
• Minimum of 3 years of hands-on working experience after studies in configuring, managing, and operating Software Defined Networks (SDNs) in Mobile Core Networks, including VNFs, Open-Source MANO, 5G and beyond Testbeds, 5G Core and 5G RAN
• Proficiency in MS Office applications (Word, Excel, PowerPoint).
• Excellent analytical, problem-solving, planning, and coordination skills.
• Familiarity with SNS JU EU-landscape on 5G/6G Research, Development and Innovation projects is and additional advantage.
• Strong attention to detail, organizational skills, and ability to manage multiple tasks.
• Excellent written and verbal communication skills in English.
• Proven ability to work both independently and collaboratively in team environments.
What we Offer
• Attractive annual gross salary: €30,000 – €45,000 depending on qualifications and experience.
• Access to Provident Fund and Medical Insurance plan beyond GESY after the first 6 months’ probation.
• Flexible working hours in a collaborative environment.
• Bonus Loyalty Scheme.
• A great opportunity to enhance your skills by working with highly talented professionals and engaging with the latest cutting-edge technologies.
• Direct involvement in renowned international organisations and institutions across Europe and beyond.
• Technical problem-solving with superb planning and coordination support.
• Hybrid, physical or fully remote work options.
Why Join Us
At eBOS, you won’t just be taking a job, you’ll be building a career at the forefront of European innovation. This role offers the chance to shape meaningful projects, contribute to pioneering technologies, and collaborate with some of the brightest minds in the industry.
Apply now by send your detailed CV to hrofficer@ebos.com.cy with the title “Application for the position of 5G/6G Communications Engineer” in the subject and be part of the innovation journey with eBOS!
Откликнуться на вакансию
eBOS
📍 Nicosia
💼 Employment type not specified
🏠 Work mode not specified
Описание вакансии
About eBOS
eBOS Technologies Ltd, a Cypriot owned SME, is one of the most innovative and leading software and technology companies in Cyprus and across Europe. With 23 years of proven success and a strong focus on Research & Development (R&D), we deliver cutting-edge digital solutions to enterprises worldwide.
The Role
We are seeking an experienced full-time 5G/6G Communications Engineer to join our R&D Department. This is a unique opportunity to play an active role in both EU research projects and commercial innovation initiatives, while working in a dynamic, collaborative, and forward-thinking environment.
As part of the 5G/6G Communications Team, you will:
• Collaborate with research team members to manage, maintain, and upgrade the company’s 5G testbed, which currently includes two laboratory-grade 5G base stations, a state-of-the-art USRP, and a 5G Data Centre.
• Operate and reconfigure the back-end of the 5G testbed, including servers, VNFs, and their orchestration via Open-Source MANO in a Software Defined Network (controller/compute nodes setup).
• Work closely with R&D Project Managers to implement technical requirements and meet obligations stemming from participation in EU-funded 5G/6G R&D&I projects.
• Represent eBOS at international consortia, meetings, trainings, workshops, events, and conferences.
• Contribute to the preparation of project deliverables and technical reports.
• Participate in experimental tasks of existing and upcoming research projects related to the 5G testbed.
• Collaborate effectively in multicultural environments, sometimes under pressure, ensuring timely delivery of results and compliance with KPI targets.
• Work under the guidance of the Head of the 5G/6G Communications Team, ensuring the delivery of high-quality outcomes.
Minimum Qualifications & Experience
• Bachelor’s, Master’s, or PhD degree in ICT, Digital Communications, Telecommunications Engineering, or a closely related field, with a focus on 5G and beyond mobile communication technologies.
• Minimum of 3 years of hands-on working experience after studies in configuring, managing, and operating Software Defined Networks (SDNs) in Mobile Core Networks, including VNFs, Open-Source MANO, 5G and beyond Testbeds, 5G Core and 5G RAN
• Proficiency in MS Office applications (Word, Excel, PowerPoint).
• Excellent analytical, problem-solving, planning, and coordination skills.
• Familiarity with SNS JU EU-landscape on 5G/6G Research, Development and Innovation projects is and additional advantage.
• Strong attention to detail, organizational skills, and ability to manage multiple tasks.
• Excellent written and verbal communication skills in English.
• Proven ability to work both independently and collaboratively in team environments.
What we Offer
• Attractive annual gross salary: €30,000 – €45,000 depending on qualifications and experience.
• Access to Provident Fund and Medical Insurance plan beyond GESY after the first 6 months’ probation.
• Flexible working hours in a collaborative environment.
• Bonus Loyalty Scheme.
• A great opportunity to enhance your skills by working with highly talented professionals and engaging with the latest cutting-edge technologies.
• Direct involvement in renowned international organisations and institutions across Europe and beyond.
• Technical problem-solving with superb planning and coordination support.
• Hybrid, physical or fully remote work options.
Why Join Us
At eBOS, you won’t just be taking a job, you’ll be building a career at the forefront of European innovation. This role offers the chance to shape meaningful projects, contribute to pioneering technologies, and collaborate with some of the brightest minds in the industry.
Apply now by send your detailed CV to hrofficer@ebos.com.cy with the title “Application for the position of 5G/6G Communications Engineer” in the subject and be part of the innovation journey with eBOS!
Откликнуться на вакансию
2026-09-19 03:05:13