Senior AI Compute Infrastructure Engineer Kraken 📍 Cyprus 💼 Employment type not specified 🏠 Work mode not specified 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. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade. The opportunity • Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. • Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. • Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. • Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. • Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. • Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. • Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. • Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. • Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. • Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety. What You Bring • 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. • Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. • Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. • Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. • Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. • Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. • Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. • Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. • Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. • Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership. Nice to haves • Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. • Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. • Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. • Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. • Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. • Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. • Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. 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 (https://www.linkedin.com/jobs/view/4410802702)

Senior PHP Developer (Relocation to Cyprus), Billing Team Freedom24 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding's IT infrastructure worldwide. Our team currently consists of 170 professionals. Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are expanding our IT Infrastructure team and are looking for a Senior PHP Developer to join our amazing Billing team. Responsibilities • Implement new modules into web applications. • Integrate with external services. • Deploy new code to production. • Estimate development tasks. • Participate in the design and improvement of the product infrastructure to enhance stability and performance. • Collaborate with cross-functional teams to identify and implement solutions that meet business requirements. • Design architectural solutions, technologies, databases, and infrastructure to ensure stable and high-performing systems. Requirements • 6+ years of experience as a Backend or Full-Stack Developer, including at least 5 years of hands-on PHP development experience. • Experience with at least one PHP framework, such as Laravel, Symfony, Zend Framework, or Yii. • Strong understanding of object-oriented programming (OOP), SOLID principles, and common design patterns. • Experience with CI/CD practices and pipelines; familiarity with real-time technologies such as WebSockets is a plus. • Strong knowledge of SQL and relational databases. • Confident use of Git via the command line. • Good knowledge of the Linux command line, including the ability to independently set up and configure a web stack. • Willingness and ability to write and maintain automated tests. • Strong fintech background preferred • Russian: native or C1 • English: B1+ • Experience working with monolith architectures and service-oriented migration • Ability to understand product and domain context, not just execute tasks Benefits • Benefits • Office-based role in Limassol, Monday to Friday (5/2), with a hybrid work option. • 21 paid vacation days per year. • Paid sick leave. • Child allowance: €400 per month for each child under 18 living with you in Cyprus. • Access to company sports teams (football, volleyball, men's and women's sailing, and marathon). • 50% reimbursement for private health insurance (if the standard insurance coverage is insufficient). • Tickets to online professional conferences. • Paid courses related to your field of work. • Corporate discount on online English classes. • Regular company events. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446557893)

SQA Developer Aylo 📍 Nicosia 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). • A select number of positions require full-time in office attendance* In collaboration with the Tubes Web Automation team, this position is responsible for the implementation lifecycle of automated tests on multiple platforms. Responsibilities include Testcase requirement gathering, defect reporting, new Test implementation & maintenance of existing Test infrastructure. What you'll be doing: • Develop new Automated Tests • Build reusable code and Testing tools, adhering to best practices • Convert the Test Cases into Automated Test Scripts • Help maintain existing tests and framework • Gain product and requirement knowledge via manual feature testing • Escalate defects found as bug reports to stakeholders • Collaborate with QA & Development team members What you'll need to be successful: Must haves: • 2+ years of experience in Automation Testing using Java/Groovy /Python • 1-3 years of experience in Manual Software Quality Assurance • Experience with bug tracking software, such as Jira • Good understanding of Katalon, TestProject, Selenium • Good understanding of Mobile and Desktop browser testing & browser support • Experience with Git Repository Management Tools(Git Lab , Bitbucket etc) • Experience working with CI/CD tools (Jenkins, GitLabs) • Knowledge of multiple scripting or programming language • Experience with API Testing • Experience in Cross Browser Automation and Mobile Emulators (eg. BrowserStack) • Excellent communication (verbal/written) including the ability to distill technical details into human terms Nice to haves: • Demonstrated judgment reviewing and correcting AI-generated code • Evidence of having restructured workflows around AI, beyond occasional use • Hands-on experience building or configuring AI agents and automated workflows As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees In this role you may be exposed to adult content Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4443346861)

Senior Data Scientist Scorewarrior 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии About Scorewarrior. We're a game developer and publisher from Cyprus with one single game in the 4x strategy genre: Total Battle. We're a one-game company on purpose, because in everything we do, we focus We are currently concentrating on two major goals: • To make our game #1 in its genre. • To make our company the best place to work on games. And we're far from there; we still have a lot of work to do. That's why we need you. Let's dive in. As our marketing Data Scientist you will play a key role in optimizing our marketing strategies by providing meaningful insights through advanced modeling. Your primary focus will be to build predictive models that forecast user payment behavior by Day30, based on in-game activity data collected during the first 7 days of a user’s lifetime. Key responsibilities. • Build and refine predictive models to forecast users payment likelihood. • Explore and process large volumes of in-game event data to uncover patterns relevant for forecasting. • Collaborate with the marketing team to ensure that the models drive better user acquisition decisions. • Effectively manage large datasets, ensuring timely and precise insights. You could be a great fit for this position If: • You have at least 4 years of experience in data science. • You have a proven track record in creating and implementing predictive models related to customer behavior. • You possess strong Python skills and experience with key machine learning libraries (scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, PyTorch). • You have experience working with large datasets and are capable of effectively diving deep into detailed analyses. • You excel at translating complex analytical concepts into clear insights and recommendations for stakeholders across all levels. • You love game development. • Your English is B1 and higher. Why Scorewarrior? • Work with a product you love: Total Battle is more than just a job; it's a passion project. • Join a highly skilled team: We're a nerdy group of talented individuals who love what we do. • Make a real impact: Your work pulls the best people together to get us to that number-one app store spot. • Stability: Start working with a stable three-year contract with the potential to extend it to infinity and beyond. • Salary of 5000-7000 eur net/month + 13th salary. • Full-coverage relocation for you and your family to Cyprus (Limassol). • Private health insurance for you and your family members. • A monthly pre-school, school, and university allowance for employees' children. • Lunch compensation. • A sports and fitness allowance. • Personal development opportunities paid for by the company: professional and language courses, books, etc. • Bonuses for outstanding results, years worked, getting married, and the birth of a child. • Monthly office parties and epic, annual offsite company birthday and Christmas parties. Do you accept the challenge? Apply today! Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4419874588)

Product Owner Aylo 📍 Nicosia 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). • A select number of positions require full-time in office attendance* As a Product Owner, you'll be the go-to expert for your domain and bridge the product gap between the technical and non-technical. Be a part of an agile environment where you truly feel the impact of your work and are empowered to be creative and take risks. What you’ll be doing: • Drive investigation with Engineering for business related issues • Communicate with internal clients to understand expected user behavior, expected benefits, reporting requirements and employee user flows • Provide feedback to the dev team through your own troubleshooting, testing and feedback gathering from clients, administrators, dependencies, and integrators • Provide updates to clients, integrators, strategic planning, and management as required • Write and review business cases, use cases, and user stories with relevant acceptance criteria and boundaries • Finalize Scope by gathering clarifications from clients for developers • Monitor and report on KPIs and user behaviors post-launch and devise, design, develop and deploy project optimizations where needed • Work with Data Analysts to leverage data to understand the Product and user behavior in detail • Provide recommendations and ideas for feature development and discuss them with the stakeholders • Review client feature requests and provide feedback in terms of potential solutions, feature phases • Investigate, understand and communicate requirements for end to end user flows, as well as end to end service integration (SaaS) flows • Work closely with other POs to assess any potential existing services or features on other products which could benefit our product What you’ll need to be successful: Must Haves: • 3+ years of experience in a similar role • Bachelors degree or another relevant degree in a related field (business, technical) or the required minimum experience mentioned above • A strong understanding of the relationship between product and engineering • Proficiency in documentation and attention to detail • Ability to communicate technical components with non-technical people • Experience in an agile environment Nice to haves: • Scrum certified • QA experience • Exposure to Jira and Confluence • Analytics and reporting experience As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees In this role you may be exposed to adult content Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4443388087)

AI Growth Marketing Manager (B2B) TripleTen 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Nebius Academy B2B the educational hub of Nebius focus on entreprise AI Transformation. We builds the skills, judgment, and capability behind successful AI transformation. AI won't change work just once, it will keep evolving. We are looking for a hands-on Growth Marketing Manager to own and scale our demand generation engine. Reporting directly to the CMO, you will design and execute multi-channel demand generation programs, optimize marketing funnels, and drive qualified pipeline across multiple markets. This is a hands-on individual contributor role for someone who combines strong growth marketing expertise with analytical thinking, experimentation, and a passion for delivering measurable business results. What you will do: • Own and execute full-funnel demand generation programs, from awareness through pipeline conversion. • AI Agent Orchestration: Build and deploy LLM agents that autonomously scrape competitor ads, rewrite brand battlecards, summarise media coverage, and draft personalised outbound sequences. • Manage paid acquisition across LinkedIn, Google, Meta, and other relevant channels to drive qualified pipeline. • Build, test, and continuously optimize landing pages, email sequences, conversion funnels, and campaign performance. • Define, measure, and improve key growth metrics including MQLs, CPL, CAC, pipeline contribution, and conversion rates. • Partner closely with Sales to maintain strong feedback loops and continuously improve lead quality. • Plan and execute field marketing initiatives, including webinars, events, trade shows, and regional activations. • Support Account-Based Marketing (ABM) initiatives by coordinating campaigns for priority accounts. • Work closely with the Content and Design teams to develop compelling messaging, campaign assets, and demand generation programs. • Continuously experiment with messaging, offers, creative, and channel performance to maximize marketing efficiency. • Leverage AI tools to improve productivity, accelerate campaign execution, and optimize marketing workflows. Requirements: • 5+ years of experience in B2B Growth Marketing, Demand Generation, Performance Marketing, or a similar hands-on marketing role. • Proven experience managing paid acquisition campaigns across LinkedIn, Google, Meta, or other B2B marketing channels. • Strong understanding of growth marketing fundamentals, including demand generation, conversion funnels, attribution, experimentation, paid acquisition, and performance optimization. • Experience working with marketing automation platforms (HubSpot or similar) and CRM systems. • Strong analytical mindset with the ability to interpret campaign data and make data-driven decisions. • Experience planning and executing field marketing initiatives, webinars, events, or regional marketing campaigns. • Excellent collaboration skills and experience working cross-functionally with Marketing, Sales, Content, and Design teams. • Strong written communication skills with experience creating campaign messaging, briefs, and marketing content. • Self-starter with a bias for action who enjoys testing, learning, and continuously improving marketing performance. • EdTech or B2B SaaS experience is highly preferred. • Excellent English communication skills and the ability to work remotely within European time zones (CET preferred). What we can offer you: • A supportive and proactive work environment. • Competitive compensation: 5000-6000 EUR base per month • Fully remote and full-time collaboration. • A diverse team across Europe, the US, Latin America and more. • Modern digital tools for seamless collaboration. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4449007715)

Research Engineer (Agentic Models) JetBrains 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents. You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products. As Part Of Our Team, You Will • Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents. • Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs. • Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks. • Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design. • Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets. • Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets. • Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. We’ll be happy to bring you on board if you have: • Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting. • Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar). • Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs. • The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases. • A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work. • At least 3 years of Python experience writing clean, maintainable code in modern ML codebases. Our Ideal Candidate Would Have Experience With • ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM. • Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours. • Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks. • AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns. • Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar. • Inference optimization and serving optimized models in production. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4353495285)

Database Platform Engineer (PostgreSQL) Nexters ($GDEV) 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Back to all jobs Database Platform Engineer (PostgreSQL) Database Platform Engineer (PostgreSQL) About Nexters Nexters is an international game development company that strives to introduce the joy of core gaming experiences to casual players. In 2021 we went public and listed on the NASDAQ (GDEV). Nexters is part of the GDEV holding, which also includes Cubic Games, Royal Ark, Game Gears and Light Hour Games studios. Our people work worldwide from offices in Cyprus, Armenia, and Kazakhstan or remotely. We want brilliant professionals who love building great games in a team with one of the best cultures. About Your Role At Nexters, we create games that capture the hearts of millions of users worldwide. We are seeking an experienced Database Platform Engineer with deep PostgreSQL expertise to join our Platform Team. Our team operates in an Infrastructure-as-a-Service model, supporting multiple product units. Our goal is to build intuitive, easy-to-use self-service solutions and provide reliable, scalable, and cost-efficient database infrastructure for game product teams. You will be responsible for developing and evolving PostgreSQL as a core infrastructure component across the company - from analyzing the current state of systems to implementing architectural changes that improve performance, reliability, scalability, and cost efficiency. About Our Stack PostgreSQL, MySQL, AWS RDS, ElastiCache, MemoryDB, Terraform, Kubernetes, GitLab CI, Bash, Python. What You'll Be Doing • Design, build, and maintain scalable and reliable database infrastructure for multiple game product teams. • Develop and operate PostgreSQL environments, ensuring stability, performance, fault tolerance, and cost efficiency. • Participate in architectural improvements and migrations involving both managed and self-hosted database solutions. • Work with scaling challenges and high-load production environments. • Analyze and optimize infrastructure costs, including evaluating trade-offs between managed and self-hosted solutions. • Automate database operations and environment provisioning using Infrastructure as Code and scripting tools. • Support and improve existing solutions involving PostgreSQL, MySQL, AWS RDS, ElastiCache, and MemoryDB. • Handle incidents and complex production cases together with product and infrastructure teams. • Collaborate closely with development teams to understand their needs and reduce the operational burden of working with data infrastructure. • Contribute to reliability, security, and best practices across the company's database landscape. We hope that you have • Practical experience with automation and Infrastructure as Code tools such as Terraform, Ansible, Puppet, SaltStack, or similar solutions. • Experience running stateful services in Kubernetes environments. • Expertise in PostgreSQL, including architecture, tuning, replication, maintenance, and operations. • Experience as a Database Administrator, Database Reliability Engineer, or Infrastructure Engineer working with production database environments. • Hands-on experience with cloud environments and managed database solutions • Experience working with high-load systems and performance optimization. • Experience with CI/CD pipelines and scripting using Bash or Python. • Good understanding of the trade-offs between performance, reliability, scalability, and infrastructure cost. • A product-minded approach: you care about usability, developer experience, and automation. • Strong communication skills and the ability to work effectively with distributed product teams. Nice to have • Experience with Redis and Kafka. • Experience migrating between managed and self-hosted database solutions. • Experience with load testing and comparative analysis of database technologies and architectures. What We Offer Healthcare Medical care program (including dental service) or medical care compensation are available for you wherever you wish to work. The basic medical care program is also available for your family members if you choose to work from our official locations – Cyprus, Armenia, and Kazakhstan. Work, life, and balance We offer a fair amount of paid vacation days and sick leave. You can work at one of our comfortable offices in official locations or from home. Sports You can choose various sports activities like yoga, football, and volleyball in our official locations. Relocation support A relocation package is available for you if you decide to join us in one of our official locations. Skills improvement Let's learn languages: you can visit online English language courses. Greek and Armenian language lessons are available for everyone who works in Cyprus or Armenia. Our company encourages people of Nexters to take part in game jams, hackathons, and relevant conferences and meetups as expert speakers. Community & ESG We are proud of our local communities and support employees’ social initiatives. Dream big, act big: Nexters contribute to gaming's positive impact on the world, hold a sustainability strategy, and take part in charity projects all over the world. Work format In one of the company's offices in Cyprus, Armenia and Kazakhstan or remotely. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4445081197)

Junior/Mid FinOps Engineer B2Tech 📍 Limassol 💼 Full time 🏠 Hybrid Описание вакансии As a FinOps Engineer specializing in AWS, you will be responsible for maintaining cloud financial hygiene, keeping documentation up to date, investigating cost anomalies, and preparing actionable optimization proposals. You will start with a 100% focus on day-to-day FinOps operations during the first 2–6 months, gradually expanding into building custom FinOps automations, AI-driven monitoring agents, and shared Terraform modules. YOUR IMPACT: • Cost Reviews & Anomaly Management: • Perform periodic cost reviews (1–2 times per week) to analyze trends and catch suspicious costs early. • Communicate with engineering and operations teams to investigate root causes of cost anomalies across AWS and AI providers (Anthropic, OpenAI). • Prepare clear, data-driven cost optimization proposals for engineering leads. • Documentation & Governance: • Keep internal FinOps documentation, tagging guidelines, and cost-allocation frameworks clean and up to date. • Implement and maintain resource tagging strategies for accountability and transparency. • Automation & Engineering (Growth Scope): • Contribute to building internal cost optimization and monitoring automations. • Participate in R&D initiatives to build custom AI agents for automated cost tracking and anomaly prevention. • Help design and maintain shared Terraform modules. • Risk Management: • Monitor for and mitigate risks related to overprovisioning, misconfigurations, and unforeseen spending. • Ensure compliance with organizational policies, cloud usage guidelines, and AI service budgets. OUR REQUIREMENTS: • Technical Expertise: • Understanding of AWS services and pricing models (e.g., EC2, S3, Lambda, RDS). • Proficiency with AWS cost management tools (AWS Cost Explorer, Budgets) and familiarity with AI provider usage/billing (Anthropic, OpenAI). • Experience with scripting and automation (Python, Bash). • Familiarity with Infrastructure as Code (Terraform) and an interest in building shared modules or AI tools. • Operational Acumen: • Experience in root cause analysis of cost anomalies and in drafting structured proposals. • Strong attention to detail regarding internal documentation and cost tracking. • Knowledge of FinOps practices, frameworks, and cost allocation principles. • Collaboration and Communication: • Ability to communicate complex technical and financial information clearly to engineering teams. • Strong interpersonal skills to investigate anomalies constructively and drive proactive cost-saving habits. WHAT WE OFFER: • Annual Discretionary Performance Bonus 💷 • Annual Salary Review 💵 • 21 Days of Paid Leave 📢 • Hybrid Model 🏠 • Semi-flexible Working Hours ⌚ • Provident Fund 💰 • Medical Insurance coverage ❤‍🩹 • Sports Benefits App Subsidized Subscription 🏋 • EUR 100 monthly Lunch Allowance with extra EUR 9 per in-office day 😋 • Weekly Happy Hour 🤠 • Exciting Career Paths 🎯 • Personalized Learning and Development Programs 📖 • Birthday Leave! 😎 • Marriage Leave Vacation 💍 • Variety of Employee Perks 🎫 Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4448929031)

26/27 Advisory-Technology-Shenzhen KPMG China 📍 Nicosia 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии 【团队介绍】 科技咨询部门（Technology）技术咨询方向涵盖技术风险咨询（Tech Risk）、数字化赋能（Digital Enablement）、技术赋能（Technology Enablement）、毕马威智慧之光（KPMG Lighthouse）和云服务事业部（Cloud）共5条业务线。 技术风险咨询（Tech Risk） 技术风险咨询服务主要包括网络安全和数据保护服务，信息技术风险管理服务，外资金融机构运营管理服务，以及智能合规服务。毕马威将技术风险和网络安全视为业务推动者，而不仅仅是IT问题。从董事会到后台，我们通过战略和治理、转型、网络防御和网络响应来帮助客户。让他们为不确定性做好准备，利用技术推动业务发展，而不是阻碍。我们正在寻找应届毕业生加入我们的技术咨询-技术风险和网络安全实践。该职位侧重于为客户管理热点问题，帮助他们识别组织内的技术风险，制定战略，并设计控制措施来应对风险。 数字化赋能（Digital Enablement） 数字化赋能服务为各行业客户提供专业数字化解决方案，通过全面洞察各行业数字化动态及前沿趋势，利用丰富实践经验和强大专业技能，以AI、大数据、数字孪生及元宇宙等新兴技术为驱动，帮助客户建立全方位的数字化体系。数字化赋能团队具有丰富的行业专家、数字化专家、数据科学家、系统架构师、AI专家、各数字化产品的实施团队等，布局全国，覆盖各能力域。根据行业及服务专长构建三大专业团队，包括：金融数字化赋能服务团队、管理数字化赋能服务团队、业务数字化赋能服务团队。 技术赋能（Technology Enablement） 技术赋能咨询团队聚焦科技基座与业务方案及管理体的深度融合，致力于打造多维交融、多域协同、多方协作的 一体化解决方案和服务能力组合，赋能客户在追求高质量发展过程中的 创新实践。不断提升在管理体系、业务方案、技术基座的方案和实践能力，赋能客户，创造更高的价值。在融合服务里包含了管理体系咨询业务、业务融合方案业务、以及技术基座咨询服务业务。其中管理体系包含了“项目群管理与治理、敏捷组织转型、研发运营一体化转型、精益管理”管理技术和方案；业务融合方案层面包含了：“研发、生产、采购、供应、销售、服务、人资、财税、质量、风险、运营等业务技术融合方案；技术基座实现对业务支撑，其中包含了：” 云原生、低代码开发、数据技术、机器学习模型、智能决策引擎、智能自动化、ERP等” 技术能力和方案。 毕马威智慧之光（KPMG Lighthouse） 毕马威智慧之光是AI项目实施落地部门，聚焦于以人工智能和大数据为核心的技术力量，助力企业实现高效、智能的业务转型。 团队使命，内修+外赋： • 内修：为公司内部业务提供AI工具与系统支持，提升效率，降低成本，推动统一化、标准化的AI平台建设。 • 外赋：将内部AI经验与方案产品化，结合业务洞察，为客户定制智能化转型解决方案，加速其业务升级。 核心技术方向： • 开源及商业大模型应用与调优：Qwen、DeepSeek、GLM、Kimi等 • RAG系统与Agent工作流应用开发： Coze、Dify、ADP 等 • Agent Actionbot 与Vibe Coding应用开发： Codebuddy、Workbuddy、Trae、Openclaw，Hermes，Harness等 云服务事业部（Cloud） 毕马威云服务事业部致力于用最前沿的技术、成熟的生态、创新的商业模式、全面及专业的人才支撑，构建强大的云上优势，帮助企业实现云上卓越能力。从“云咨询规划”、“云技术落地”、“云运营管理”再到“云业务创新”，我们为企业提供定制化、端到端的全方位服务，配备强大的实施团队，帮助实现企业一站式上云。同时，我们提供多元化人才发展路径，兼顾技术深度与业务广度，帮助人才成长为行业与技术领域专家。未来，毕马威云服务事业部将积极布局自身专业资源，以毕马威全球创新技术交付中心为依托，拓展团队资源与能力储备，辐射大中华区和亚太地区的数字化业务，在拓宽自身业务范围的同时也为我们的员工提供更多的成长空间。 详情介绍亦可参考官网：https://kpmg.com/cn/zh/home/services/advisory/management-consulting.html 【我们在寻找的你】 • 对科技与商业均有好奇心：关注技术趋势，理解技术如何驱动业务增长和客户价值； • 学习快、思维清晰：能够拆解复杂问题、提出可落地的解决方案； • 沟通协作强：能与客户、技术团队及跨职能伙伴顺畅合作，促进业务与技术有效衔接； • 关注价值落地：愿意将高层战略转化为可执行的运营与技术举措，助力企业持续改进与发展； • 自驱成长：愿意持续探索新领域、积累专业知识与咨询方法。 【职责描述】 • 协助前沿技术与标杆实践研究，结合行业趋势支持团队提出业务与运营优化方案； • 协助项目开展企业评估、流程与组织优化、数字化规划等咨询工作； • 支持交付物准备：分析数据、撰写报告、会议纪要、成果展示材料等； • 参与解决方案落地，推动战略目标在业务、运营与技术层面的实施与改进。 【任职要求】 • 2026/2027 应届毕业生； • 熟练使用Microsoft Office 等办公工具，具备专业呈现能力； • 良好的中英文沟通能力，能在国际化客户环境中工作； • 具有实习/项目/校园组织等相关经历者优先； • 积极主动、学习快速、沟通协作良好、具备职业责任感。 • 计算机科学、软件工程、数据科学、统计学、人工智能、信息管理与信息系统、金融科技、数学等理工科相关专业或复合背景专业优先；至少熟练掌握一种编程语言（如 Python, Java 等），并具备相关的系统开发、数据分析及其可视化或算法基础。熟悉相关领域（如大数据、云计算、AI框架）者优先。 Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446208838)

Backend Software Engineer, Python (Bootcamp) Exness 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for over a million clients globally. Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose. Why this role matters The Exness Engineering Bootcamp is a multi-rotational engineering program designed for high-potential Middle Engineers who want to gain first-hand experience across different products, teams and engineering domains at Exness before making a long-term team decision. Through real engineering work, mentorship and exposure to multiple areas of the business, participants build a deeper understanding of where their skills, interests and strengths can create the greatest impact. The Backend Software Engineer focuses on implementing features and maintaining backend services under the guidance of more senior engineers. The role emphasizes writing clean and reliable code, learning best practices, and steadily building expertise in high-load systems and microservices. The engineer contributes to product delivery, actively improves their skills, and supports team success by following established standards and processes. This opportunity is based in our Limassol, Cyprus office, and is open to candidates currently living in Cyprus. What you'll actually do • Consistently deliver core product features that meet functional and non-functional requirements. • Write clean, secure, efficient code, perform thorough testing and debugging, and ensure seamless integration with other components while optimizing for scalability and addressing technical debt. • Write well-documented code and automation tests with strong coverage. • Meets company standards. • Drive improvements to service latency, fault tolerance, and resilience in high-load environments. • Prepare clear technical documentation and contribute to internal knowledge bases. • Apply clean code principles and best engineering practices. • Stay current with emerging technologies and advocate for beneficial adoption. • Turn retro items into actions and reduce tech debt in small steps. Who We’re Looking For • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. • 3+ years of backend software development experience in Python. • Experience with high-load, concurrency, and multithreading backend systems. • Microservice development experience. • Preferred: Experience in financial/market-based software development or distributed systems • Strong skills in building reliable and scalable services (design, APIs, storage, testing, CI/CD). • Solid knowledge of modern development practices (version control, reviews, branching, releases). • Solid experience with ORM and DBMS, including database architecture. • Strong understanding of computer science fundamentals, system design, and integration patterns. • Solid experience with DevOps tools and practices: operating systems, monitoring, networking models, virtualization, and containerization. • Experience in software testing: unit, integration, and load tests. • Experience in debugging, profiling, and code optimizations. • English level B2+. What We Offer Along The Way • Competitive salary and annual performance bonus • Visa support for you and your family • Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind • Unlimited learning opportunities: external courses, English lessons, career and leadership development • Education allowance covering school and kindergarten fees • 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave • Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones • Employee share scheme — grow with us • Branded MINI Cooper Countryman company car and private parking • Free in-house sports clubs, Sanctum Club gym access, and jet skis • Access to a Corporate doctor • Exclusive discount program with cafes, gyms, and local services • Expat tax perks: up to 50% income tax exemption • Support with the naturalisation process for relocated employees What Your Journey Looks Like • Intro call with Recruiter (30 minutes) • English check (if needed) • Tech interview & Live-coding (120 minutes) • Behavioural interview (60 minutes) What it's like here Curious about what working at Exness really looks like? Follow us on Instagram and LinkedIn. We share the real Exness experience - our people, ideas, moments, and everything in between. Sounds like you? Apply. Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand. At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4427738044)

Software Developer (Web Development Team) JetBrains 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии JetBrains creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale. We are currently looking for a Software Developer to join our Web Development team. The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support. In This Role, You Will • Design and develop internal company-wide web applications and services. • Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions. • Build and maintain services running in AWS and Kubernetes-based environments. • Develop tools and platforms for localization workflows and integrate them with third-party systems. • Improve the reliability, scalability, and observability of our systems. • Collaborate with other teams to evolve shared infrastructure and internal platforms. We’ll be happy to have you on our team if you have: • Strong 3- 5 years experience in backend web development using Kotlin or Java. • Experience with Node.js. • A solid understanding of modern backend frameworks (e.g. Ktor and Spring). • Experience designing and building production-grade systems. • An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability). • Experience working with cloud environments (AWS or similar). • Familiarity with containerization and orchestration. • The ability to write clean, maintainable, and well-structured code. • A willingness to take ownership of systems in production (including by offering support and assisting with continuous improvement). • Good communication skills and a collaborative mindset. We Would Be Especially Thrilled If You Have • Experience with infrastructure as code (e.g. Terraform). • Experience with CI/CD pipelines and deployment automation. • Experience with observability tools (e.g. metrics, logging, and tracing). • Practical experience using AI tools or agents in development workflows. Why join JetBrains? • Strong base salary. We offer competitive pay that reflects your skills and experience. • Flexible work location. Enjoy the freedom to work from home or from the office. • Remote work. Spend up to 30 days per year working remotely from abroad. • Extra time off. More days to relax, recharge, and do the things you love. • Medical insurance allowance. Enjoy peace of mind for you and your family • Learning and development opportunities. Access to conferences, courses, and language classes. • Relocation support. We help make your move as smooth and stress-free as possible. • Language classes. Pick up the local language or sharpen your English skills. • Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. • Mental health support. To help you feel your best, we provide easy access to professional mental health services. • Sports benefit. Enjoy an on-site gym or sports club stipend. • Internal events. Join company-wide celebrations and team gatherings. • Some benefits may vary depending on location. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446216147)

Senior AI/ML Engineer (AI Lead) Tickmill 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: • A Unique Opportunity for a career in a global, fast-growing company. • Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). • Opportunities to learn and grow through our “Employee Training & Development program”. • Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. • Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. • Participation in our welfare investment and savings plan through our Provident Fund Scheme. • Birthday and Loyalty benefits. • Collaboration with SportBenefit. What to expect from our recruitment process: • First interview with hiring managers or an HR call • Task Assessment • Technical Interview or home assignment • Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4441585368)

IT Solutions Architect IBM 📍 Nicosia 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities Define and describe an architecture of a system delivered in context of a specific solution and as such it may encompass description of an entire system or only its specific parts. Leads the technical decisions being made regarding the solution and how they impact the business outcomes; address the non functional aspects of the solution or identify requirements that require definition on the technology being used. Assume primary responsibly for making decisions around the nature of the solution. Analytical Problem Solving Recognized as a thought leader in analytical problem solving, with the ability to influence team direction and strategy. Leads efforts to simplify organizational processes, creating a more agile environment that adapts quickly to changing demands. Develops and implements complex analytical frameworks to address significant challenges, evaluating the impact of solutions on organizational objectives. Mentors others in analytical techniques and creative problem-solving strategies. Establishes feedback loops for ongoing improvement. Champions the adoption of technology solutions to make informed decisions and eliminate bottlenecks in project delivery, enhancing overall organizational efficiency. Autonomy And Impact To The Organization Recognized as a key leader who drives organizational change and fosters a culture of autonomy and innovation. Demonstrates a high level of autonomy in shaping strategic decisions that affect the function, using deep expertise and insights to guide choices, rather than guidance from management. Takes the initiative to propose and lead major initiatives that transform processes, enhance capabilities, or introduce new technologies. Leverages extensive industry knowledge to develop and lead strategic plans at function level, and/or that may have company-wide effects, ensuring alignment with organizational goals and driving measurable business outcomes and organizational success. Contributes to client strategies by showing a deep understanding of a client's business, industry, market, technology, and strategy for winning. Skills And Collaboration Advanced understanding of functional area and a competent understanding of the overall company and competitive environment. Guides professionals in achieving departmental objectives. Designs and implements communication strategies that enhance team success. Masters presentations and communications with senior audiences. Effectively collaborates with negotiating counterparts to reach mutually beneficial outcome. Builds influential relationships across the organization. Acts as a mentor to mid-level professionals, guiding their strategic thinking and leadership skills. Demonstrates leadership & commitment to the success of others. Leads initiatives to implement cutting-edge technologies that support strategic goals. Preferred Education Master's Degree Required Technical And Professional Expertise Education & Experience: • Bachelor's Degree in Computer Science or Engineering • 7+ years of experience in IT solutions architecture • Experience in an IT project delivery environment, engaging with clients as an IT solutions architect and delivering tailored solutions. Experience in the delivery of at least two large projects. Technical Skills • Proficiency in the software engineering cycle and project delivery phases. • Proven experience as an IT solutions architect. Experience in large-scale migration and modernization projects. • Strong technical consulting leadership: translating technical solutions into business outcomes • Business development support: solutioning and proposals. Soft Skills • Strong analytical and problem-solving abilities. • Excellent communication and collaboration skills. • Ability to work independently and as part of a team in a dynamic, fast-paced environment. Preferred Technical And Professional Experience Knowledge and experience with projects in the Banking and/or Financial sector. Knowledge of Enterprise Content Management solutions and/or Business Process Re-engineering solutions. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446650654)

Senior Data Engineer Vecta 📍 Cyprus 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии About the job This role is being recruited for by Vecta, on behalf of one of our partner companies. Senior Data Engineer Remote (MUST relocate or be already based in Cyprus) Salary: €55,000 – €80,000 + bonus About the Role Our client is a UK delivery operation moving over a million newspapers a week, alongside parcels and essentials, for clients like Morrisons and Amazon. They've been doing this for two decades. The business works - profitably, at scale, every single day - and most of how it works lives in operational systems, spreadsheets, and the heads of people who've been there a long time. They're now investing seriously in data. Not dashboards for the sake of dashboards. Real infrastructure that lets us price routes properly, forecast demand accurately, and run the operation smarter than instinct alone allows. This is the role that builds that. The Remit You're coming into a business with 20+ years of operational data living across legacy systems, MySQL, Postgres, RDS, spreadsheets, and tribal knowledge. None of it was designed to be analysed. Most of it has never been questioned. Your job, in order: • Understand the existing world. Sit with operations, finance, and the CEO/CTO. Pull apart how the business actually runs. Figure out where the truth lives and where it doesn't. • Design the new world. A modern data platform — Airbyte, Snowflake, dbt, AWS — modelled around how this business actually operates, not how a textbook says it should. • Build it. End to end. Ingestion, modelling, warehousing, serving. You own the architecture and the execution. • Make it the source of truth. So that pricing decisions, route planning, client reporting, and forecasting all run off the same trusted layer. This is greenfield infrastructure on top of a brownfield business. The harder half of the job isn't picking the tools — it's understanding two decades of operational reality well enough to model it properly. If that's the part that excites you, read on. What You'll Actually Do • Build the data platform end to end: ingestion (Airbyte), warehousing (Snowflake), transformation (dbt), and serving on AWS • Pull from operational systems (RDS, MySQL, Postgres) and a long tail of legacy sources, and turn them into clean, trustworthy models • Spend serious time with operations leaders understanding what the data means before deciding where it goes • Define metrics properly. Push back when a number doesn't reflect reality. Make the warehouse the place people trust • Partner directly with the CEO and CTO to figure out what questions the business should be asking — and build the data to answer them • Set the standard for data quality, lineage, and observability from day one • Make architectural decisions that scale for the next decade • Eventually grow and lead a team around you as the function expands Who You Are • 5+ years of data engineering experience, having built and owned production data platforms • Strong with the modern data stack: Airbyte, Snowflake, dbt or equivalent, AWS • Comfortable across operational databases: RDS, MySQL, Postgres • Strong Python — pipelines, transformations, tooling • You treat data as a product. You ask what a metric means before you build it • You're good with messy reality. Legacy systems, undocumented logic, and "we've always done it this way" don't put you off — they're the interesting part • Excellent communicator. You can sit with a 25-year ops veteran, understand how routing actually works, and translate that into a data model • Ready to step into ownership of an entire data function, not just a slice of one • Thrive with autonomy and care about craft How They Work • Fully remote. Async by default, with regular calls to whiteboard the model, work through design decisions, and pair on the hard problems. • This is a rare setup: enterprise stability with the pace of a well-funded startup. The business has made its money. Now it's investing in engineering talent to build something exceptional. In a company of several hundred staff, you'll have direct access to the CEO and CTO from day one. No layers. No politics. Just thoughtful engineering at pace. • You'll be the most senior data person in the room from day one. You set the architecture. You define how the business uses data. You grow the function from here. Tech stack: Airbyte, Snowflake, dbt, AWS, RDS, MySQL, Postgres, Python Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4445556051)

Software Developer (Web Development Team) JetBrains 📍 Paphos 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии JetBrains creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale. We are currently looking for a Software Developer to join our Web Development team. The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support. In This Role, You Will • Design and develop internal company-wide web applications and services. • Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions. • Build and maintain services running in AWS and Kubernetes-based environments. • Develop tools and platforms for localization workflows and integrate them with third-party systems. • Improve the reliability, scalability, and observability of our systems. • Collaborate with other teams to evolve shared infrastructure and internal platforms. We’ll be happy to have you on our team if you have: • Strong 3- 5 years experience in backend web development using Kotlin or Java. • Experience with Node.js. • A solid understanding of modern backend frameworks (e.g. Ktor and Spring). • Experience designing and building production-grade systems. • An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability). • Experience working with cloud environments (AWS or similar). • Familiarity with containerization and orchestration. • The ability to write clean, maintainable, and well-structured code. • A willingness to take ownership of systems in production (including by offering support and assisting with continuous improvement). • Good communication skills and a collaborative mindset. We Would Be Especially Thrilled If You Have • Experience with infrastructure as code (e.g. Terraform). • Experience with CI/CD pipelines and deployment automation. • Experience with observability tools (e.g. metrics, logging, and tracing). • Practical experience using AI tools or agents in development workflows. Why join JetBrains? • Strong base salary. We offer competitive pay that reflects your skills and experience. • Flexible work location. Enjoy the freedom to work from home or from the office. • Remote work. Spend up to 30 days per year working remotely from abroad. • Extra time off. More days to relax, recharge, and do the things you love. • Medical insurance allowance. Enjoy peace of mind for you and your family • Learning and development opportunities. Access to conferences, courses, and language classes. • Relocation support. We help make your move as smooth and stress-free as possible. • Language classes. Pick up the local language or sharpen your English skills. • Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. • Mental health support. To help you feel your best, we provide easy access to professional mental health services. • Sports benefit. Enjoy an on-site gym or sports club stipend. • Internal events. Join company-wide celebrations and team gatherings. • Some benefits may vary depending on location. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446221101)

Senior Research Engineer (Code World Models) JetBrains 📍 Limassol 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии JetBrains is a global software company that creates intelligent tools for software developers and teams. Since 2000, we have built products that help developers work more productively, write higher-quality code, and stay focused on solving real problems. The JetBrains Research team is looking for a Senior Research Engineer to work on Code World Models: models that learn how software systems behave, change, execute, and interact with developer tools. This role is focused on model pre-training and mid-training for code-centric foundation models. You will work on data, training pipelines, evaluation, and experiments that improve how models understand programs, repositories, execution, tests, and software engineering workflows. In This Role, You Will • Design and run pre-training, continued pre-training, and mid-training experiments for code models. • Build and improve data pipelines for large-scale model training, including filtering, deduplication, mixture design, and dataset quality checks. • Work with code corpora, repositories, tests, execution traces, and synthetic data. • Develop evaluations for complex repository-level code reasoning tasks. • Collaborate with researchers and engineers working on ML for code and AI developer tools. We’ll be happy to have you on our team if you: • Have hands-on experience with model pre-training, continued training, or mid-training. • Have strong engineering skills in Python and experience with modern ML frameworks. • Understand large-scale ML training workflows, including data processing, distributed training, checkpointing, evaluation, experiment tracking, and debugging. • Have experience working with large datasets and care about data quality, contamination, sampling, and reproducibility. • Have a background in NLP, ML for software engineering, or a similar domain. • Enjoy working on research problems with high uncertainty and turning ideas into working experiments. It Would Be a Plus If You • Have experience training or adapting models for code generation, code understanding, software agents, program repair, test generation, or repository-level reasoning. • Have worked with execution-based data, such as unit tests, traces, logs, compiler feedback, runtime states, or sandboxed code execution. • Have experience with large-scale distributed training of models with 70B+ parameters. • Understand evaluation challenges for code models, including benchmark contamination, flaky tests, execution-based scoring, and long-horizon task evaluation. • Have contributed to ML infrastructure, open-source projects, or research systems. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4427347653)

AI Engineer EY 📍 Nicosia 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY Consulting Service Line, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can.  The opportunity Our EY Consulting ambition is to become the world’s leading transformation consultants, trusted to help our clients generate long-term value. We’re building world-class capabilities in business, technology and people consulting to help us deliver on EY’s purpose of building a better working world — our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization. Our clients are at the heart of our new strategy. We’re focused on solving the key issues of our client buyers, building deeper relationships, and making a greater impact. We’re introducing a new go-to-market narrative — Transformation Realized™ — to help us harness the core drivers of transformation that will create long-term value for our clients. To achieve this, we are seeking for AI Engineer to join our Transformation Realized™ Consulting practice to support our clients in defining and rolling out the right data architecture, data platforms and infrastructure that support their needs, implement, and maintain automated data pipelines, and infuse data through business intelligence and analytics. Our team is part of EY’s Central, Eastern and Southeastern Europe & Central Asia (CESA) cluster, delivering market leading services to organizations across industries in Cyprus and internationally. The transformation imperative is urgent, challenging and opportunity-rich, interested to join us? Key Responsibilities • Contribute to the design and implementation of state-of-the-art AI solutions. • Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. • Collaborate with stakeholders to identify business opportunities and define AI project goals. • Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. • Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. • Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. • Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. • Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. • Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. • Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. • Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. • Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. • Ensure compliance with data privacy, security, and ethical considerations in AI applications. • Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills And Attributes For Success • Bachelor’s and/or Master's degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University. • Minimum 3 years of experience in Data Science and Machine Learning. • In-depth knowledge of machine learning, deep learning, and generative AI techniques. • Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. • Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. • Familiarity with computer vision techniques for image recognition, object detection, or image generation. • Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. • Expertise in data engineering, including data curation, cleaning, and preprocessing. • Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. • Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. • Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. • Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. • Understanding of data privacy, security, and ethical considerations in AI applications. • Track record of driving innovation and staying updated with the latest AI research and advancements. • Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. It will be a plus if you have • Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. • Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. • Implement CI/CD pipelines for streamlined model deployment and scaling processes. • Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. • Implement monitoring and logging tools to ensure AI model performance and reliability. • Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. • Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. • You have experience with lean/agile software development. What Working At EY Offers EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include: • 13th salary and yearly bonus • Provident Fund • Private Medical and Life Insurance • Flexible working arrangements (hybrid work and flexible work schedule) • Friday afternoon off • EY Tech MBA and EY MSc in Business Analytics • EY Badges - digital learning certificates • Mobility programs (if interested to work abroad) • Paid Sick Leave • Paid Paternity Leave • Yearly wellbeing days off • Maternity, Wedding and New Baby Gifts • EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services) Are you ready to shape your future with confidence? Apply today. To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. About EY  EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Junior AI Engineer Capital.com 📍 Cyprus 💼 Full time 🏠 Work mode not specified Описание вакансии We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities: • Build, maintain, and monitor operational workflows and automations used across the business • Develop and maintain data pipelines and system integrations to reduce manual work and improve operational efficiency • Design and implement automated checks and controls to identify errors and operational issues early • Integrate data from multiple systems into a single, reliable source for reporting and analysis • Monitor the performance, reliability, and health of workflows, automations, and integrations • Document workflows, processes, and technical solutions to ensure knowledge sharing and maintainability • Collaborate with Product and Engineering teams to gather requirements and define technical specifications for automation initiatives • Troubleshoot and resolve issues related to workflows, integrations, and data pipelines • Continuously identify opportunities to improve business processes through automation and technology Requirements: • Experience with workflow automation and integration tools such as n8n, Zapier, Make, or similar, gained through professional, academic, or personal projects • Good command of English, both written and verbal • Knowledge of JavaScript and/or Python scripting • Working knowledge of REST APIs and integrating third party services • Familiarity with SQL, relational databases, or data warehouses • Comfortable working with spreadsheets and structured data • Strong analytical and problem solving skills with excellent attention to detail • A responsible approach to handling confidential and sensitive information • Exposure to data visualization or Business Intelligence (BI) tools, AI or Large Language Model (LLM) integrations, or experience working in a regulated financial services or operations environment will be considered an advantage What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4448910145)

Staff Software Engineer Adversa AI 📍 Cyprus 💼 Employment type not specified 🏠 Work mode not specified Описание вакансии The role We're building the security layer for AI agents running inside large enterprises, sitting in the path of every agent action, catching destructive operations and data exfiltration before they land, across tens of thousands of agents. And we're aiming to build that by implementing an AI factory, where agents handle most of the implementation and engineers direct, review, and keep raising the ceiling on what they can handle. If designing the system that writes the software appeals to you more than writing every line yourself, this is the job. What you'll do • Own significant areas of product functionality end to end — design, build, ship, maintain • Build and refine the agent workflows the rest of the team develops with, and automate anything that saves the team time or improves quality • Set technical direction and be the go-to person for architecture and design decisions • Mentor, pair, and raise the bar on engineering practice across the team What we're looking for • 10+ years building production software in C++, Go, Rust, or similar • Experience building high-throughput, low-latency network infrastructure: proxies, gateways, sidecars, data-plane services where being in the request path means you can't be slow and can't go down • Experience shipping that kind of infrastructure to large enterprises: deploying into customer-controlled environments, passing security review, integrating with the gateway and SIEM stack they already run, and failing open rather than breaking someone's workflow • 3+ years in a technical leadership role setting direction for project teams • Degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience Why join us • Play a key role in shaping the future of AI by protecting it • Work alongside a diverse team of security researchers and industry experts, our founders are pioneers in AI Security, and our investors include top Engineers like ex ex-SVP of Engineering of Twitter • Opportunity to innovate and automate in a rapidly evolving space • Big stock compensation for first hires, professional growth, and an environment that fosters creativity and collaboration Откликнуться на вакансию (https://www.linkedin.com/jobs/view/4446671077)