Senior Software Engineer

🏢 Summary: Software engineering role in the Data Platform team focused on building and maintaining data-driven applications, including AI-powered data access tools. The position involves developing scalable data and metadata solutions and contributing to high-impact projects across the organization. You will work across legacy and greenfield systems while leveraging modern AI-assisted development practices. 🗂️ Requirements: 3+ years of software engineering experience, Proficiency in Python, Proficiency in SQL 📃 Skills: Python, SQL, Kubernetes, Kafka, Trino, Grafana, Prometheus, CloudWatch, AWS, Copilot, Claude, Codex, AI, Cloud, Data, Metadata 🏢 Description: Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact. What you’ll do: Develop and enhance solutions for data and metadata access Build reliable, scalable applications and operational processes Experiment with AI-assisted development tools and share best practices Collaborate in a distributed team, taking ownership of impactful projects What we’re looking for: 3+ years in software engineering, Python and SQL experience Experience with data systems, cloud technologies, or AI-assisted tools is a plus Product-oriented mindset, comfortable navigating ambiguity, and impact-focused Nice to have: Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino) Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch Experience with AWS or other cloud platforms Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.) Why join: High-visibility, high-impact role across the firm Shape AI-driven development and data access practices Work on cutting-edge tech in institutional finance Collaborative culture with competitive compensation

🏢 Summary: The offer is for a Senior Scala Engineer to design and evolve a high-performance aggregate system that optimizes query workloads across modern cloud data platforms. The role focuses on architecting intelligent prediction and selection logic, improving system scalability, and ensuring reliability in large-scale environments. You will work on accelerating business intelligence through advanced lifecycle and performance engineering. 🗂️ Requirements: 6+ years of professional software engineering experience, BA/BS in Computer Science or related field, Strong expertise in Scala, Experience with Akka or Pekko, Experience with data warehouse concepts, Experience with Docker and Kubernetes, Ability to design and optimize high-scale distributed systems, Ability to analyze system performance and trade-offs, Availability to work in Eastern/Central European Time hours 📃 Skills: Scala, Akka, Pekko, Snowflake, BigQuery, Databricks, Docker, Kubernetes 🏢 Description: Our customer is the semantic layer for modern data and AI. They bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a Senior Scala Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence. Responsibilities: Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms. Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies. Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly. Requirements: 6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field. Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko. You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability. Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes). Excellent communication skills and are comfortable working across query planning and platform teams. You are based in or able to work Eastern/Central European Time hours.

🏢 Summary: The role focuses on driving successful Cloud ACS implementations by onboarding clients, providing technical support, and delivering training to ensure maximum product value. It involves close collaboration with customers and internal teams to optimize processes and support presales activities. 🗂️ Requirements: Experience supporting technical clients, Ability to onboard clients and implement custom processes, Ability to provide technical support via email, phone, and online meetings, Ability to conduct technical trainings, Understanding of networking concepts (IP, DNS, HTTP, HTTPS), Ability to translate customer feedback into product insights, Strong presentation of technical topics, Fluency in English 📃 Skills: Cloud, ACS, Networking, IP, DNS, HTTP, HTTPS, XML, Scripting, Automation 🏢 Description: Join our Customer Success team to drive client satisfaction and successful Cloud ACS implementations! Help clients fully leverage our cutting-edge solutions, ensuring they maximize their return on investment. Key responsibilities Facilitate client onboarding and custom process implementation Provide daily support through email, phone, and online meetings Conduct training and empower clients to maximize the value of Cloud ACS Drive product innovation by gathering customer feedback Support the Presales team in PoCs coordination Requirements Proactive, customer oriented professional with experience in support of technical clients Keen eye for process optimization Ability to translate client feedback into actionable insights for our Product Team Strong communication and presentation skills Ability to explain technical topics clearly and in a structured way Details oriented and analytical mind Basic understanding of networking concepts (IP addressing, DNS, HTTP/HTTPS) and willingness to expand technical knowledge Fluency in English Nice to have Basic scripting or automation experience (e.g. XML, scripting languages, or Java-like languages) to create simple workflow automations tailored to customer business processes Second language - Spanish, French, or Italian is a nice bonus What we offer Collaborative work environment with support from a talented team Opportunity to work with a leading device management platform (Cloud ACS) Real exposure to global customers, including participation in international conferences and industry events Flexible working hours and a relaxed work atmosphere (no dress code, no open space) Professional development through training, conferences and knowledge sharing Comprehensive benefits package, including medical care, Multisport card, onsite gym, and chillout space Comfortable office amenities: well-stocked kitchen (including Good Lood ice cream), parking area, and bike room

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: The offer is for a QA Engineer responsible for manual and automated testing of web and mobile applications in a cloud-based environment. The role involves preparing test documentation, maintaining regression tests, reporting issues, and collaborating with cross-functional teams within CI/CD-driven processes. It provides opportunities to develop in test automation, API testing, performance testing, and test management. 🗂️ Requirements: Minimum 2 years of experience in testing web and mobile applications, Basic knowledge of GIT, Basic knowledge of SQL, Basic knowledge of JIRA or DevOps, Knowledge of CI and CD processes, Understanding of web applications and microservices, Ability to create effective test cases, Experience with manual testing, Ability to participate in test automation processes, Good command of English, Good command of Polish 📃 Skills: GIT, SQL, JIRA, DevOps, CI, CD, SOAP, REST, GraphQL, SoapUI, Postman, Selenium, Jmeter, C# 🏢 Description: We build innovative digital products for the modern workplace in the Cloud, and we need your help. Our products are being used by hundreds of thousands of employees worldwide, so it’s our top priority to deliver the best and bug-free experiences. The QA-friendly processes such as Continuous Integration, Continuous Delivery, and Code Review will help you at every step. You will always have direct contact with a Team Leader, UX Designer, and Product Owner, and access to all the resources you need to make your work efficient and fun. Responsibilities: prepare product and test documentation (case study, scenario, reports, etc.), prepare and maintain regression scenario tests, register requests/issues and report work results, coordinate the process of handling requests, clarify any possible concerns with analysts, developers and clients, participate in manual testing and test automation processes. Apply if you: have at least 2 years of experience in testing web and mobile applications, have at least basic knowledge of GIT, SQL, JIRA or Devops, know Software development process with CI and CD, have knowledge of how web applications and microservices work, are meticulous and able to creatively find solutions for any possible problems, are able to create effective test cases, can think creatively and skillfully find out-of-the-box solutions, are interested in modern technologies, have a good command of spoken and written English, have a good command of written and spoken Polish, are able to work in a team (everyday communication with testers, programmers, analysts and clients), are focused on long-term cooperation, development and expanding responsibilities (promotion to higher positions). Nice to have: knowledge of: SOAP/REST/GraphQL, SoapUI, Postman, Selenium, Jmeter, C#, higher technical education degree (including final year students). We offer: hybrid or on-site model of working, possible development towards: project test management and planning, planning and preparation of automated tests, planning and preparing API tests, planning and preparing performance tests, certifications and knowledge transfer, the latest technologies, which you will be working with, fully equipped workplace, benefits package (private medical care, Multisport card).

🏢 Summary: The role focuses on building and maintaining large-scale streaming data pipelines to monitor and improve video streaming quality for a global media platform. You will develop real-time and batch processing solutions that power analytics and quality insights. The position involves designing scalable, high-performance systems for processing high-volume streaming data. 🗂️ Requirements: Strong experience in streaming data processing, Hands-on experience with Java, Hands-on experience with Apache Flink, Experience with big data technologies (Spark, HDFS), Understanding of distributed systems, Experience building data pipelines, Experience with real-time and batch data processing 📃 Skills: Java, Flink, Spark, HDFS, Streaming, Batch, DistributedSystems, DataPipelines, Analytics 🏢 Description: You will join a Video Service Quality team within a large-scale media streaming organization. The team focuses on building tools and platforms for monitoring, analyzing, and improving video streaming quality. The project involves processing high-volume streaming data and developing analytics solutions that help ensure seamless video delivery and user experience. You will work on data aggregation pipelines and real-time processing systems that power quality insights for a global video platform. Essential functions Design, develop, and maintain streaming data processing pipelines Work with real-time and batch data using technologies like Java, Flink, and Spark Build scalable solutions for data aggregation and analytics related to video streaming quality Collaborate with cross-functional teams to improve monitoring and quality metrics Participate in system design discussions and contribute to architectural decisions Ensure reliability, performance, and scalability of data processing systems Analyze large datasets to identify patterns and optimize streaming performance Qualifications Strong experience in streaming data processing (must-have) Solid hands-on experience with Java and Apache Flink Experience working with big data technologies (e.g., Spark, HDFS) Good understanding of distributed systems and data pipelines Intermediate+ spoken English (for communication with international teams) Readiness to join evening calls until 8:00 PM CET Would be a plus Solution design Ability to work self-sufficiently with minimal supervision We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Ownership of end-to-end delivery of complex Data Cloud initiatives in modern cloud environments. The role bridges engineering, architecture, and delivery to ensure scalable, high-quality data platforms are built, governed, and released effectively. It focuses on coordinating technical teams and translating architectural vision into structured, predictable execution. 🗂️ Requirements: Experience delivering cloud-based data platforms (data lakes, data warehouses, lakehouse), Strong understanding of data ingestion, transformation, orchestration, observability, Hands-on knowledge of AWS, Azure, or GCP, Understanding of IAM, networking, and cloud cost management, Experience with CI/CD pipelines, Experience with Infrastructure as Code, Knowledge of DevOps practices, Ability to translate architecture into delivery plans and backlogs, Experience managing technical risks and cross-team dependencies, Experience governing full software development lifecycle 📃 Skills: AWS, Azure, GCP, CI/CD, IaC, DevOps, IAM, Networking, DataLakes, DataWarehousing, Lakehouse, Orchestration, Observability 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role You take ownership of delivering complex Data Cloud initiatives from idea to production. Sitting at the intersection of engineering, architecture, and delivery, you help teams turn technical vision into predictable outcomes. You coordinate people, platforms, and plans to ensure scalable, high‑quality data solutions are built the right way, on time, and with clear visibility for stakeholders. Your impact is enabling engineering teams to deliver confidently in a modern cloud data environment. Your tasks Drive end‑to‑end delivery of Data Cloud initiatives, including ingestion pipelines, transformation layers, and platform services Translate architectures and technical roadmaps into delivery plans, milestones, and actionable engineering backlogs Coordinate work across data engineering, platform engineering, DevOps, and analytics teams Ensure solutions follow agreed technical standards, architectural guidelines, and cloud best practices Govern the full development lifecycle from design readiness through production stabilization Plan and coordinate releases, ensuring quality gates, production readiness, and operational handoverIdentify, manage, and resolve technical risks, dependencies, and cross‑team blockers Provide clear, technically grounded delivery status, forecasts, and risk updates to senior stakeholders Your profile Experience delivering cloud‑based data platforms, such as data lakes, data warehouses, or lakehouse architectures Solid understanding of modern data engineering concepts, including ingestion patterns, transformations, orchestration, and observability Familiarity with cloud platforms (AWS, Azure, or GCP), including IAM, environments, networking, and cost considerations Comfort working with CI/CD, Infrastructure as Code, and DevOps practices Proven background in leading complex technical initiatives and structuring work into executable delivery plans Ability to proactively manage dependencies in technically complex environmentsStrong sense of ownership, accountability, and delivery focus Clear communication skills with the ability to translate technical topics into delivery, cost, and risk implications What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Senior Java Cloud Engineer role focused on building scalable cloud solutions across AWS, Azure, or Google Cloud using Java and DevOps practices. The position involves end-to-end ownership of cloud services, collaboration with distributed Agile teams, and maintaining CI/CD and automated testing workflows. Hybrid work with 3 days per week in the office is required. 🗂️ Requirements: 3+ years of hands-on Java experience, Experience with AWS, Azure, or Google Cloud, Experience working in distributed environments, Knowledge of Java and .NET frameworks, Understanding of cloud VM, cloud compute, and containerization, Experience with GitLab and GitLab pipelines, Strong SQL skills, Knowledge of Oracle, Knowledge of MS SQL Server, Experience working in Agile teams, Experience with automated testing and continuous integration, English proficiency level B2 or higher, Availability to work from the office 3 days per week 📃 Skills: Java, AWS, Azure, GoogleCloud, GitLab, SQL, Oracle, MSSQL, Docker, .NET, CI/CD, Agile 🏢 Description: We are looking for a Senior Java Cloud Engineer to deliver scalable cloud solutions using Java, cloud platforms, and modern DevOps practices. You will build reusable, efficient services across AWS, Azure, or Google Cloud while collaborating with distributed Agile teams and owning delivery end-to-end—apply now. A presence of 3 days per week in our office is required. Responsibilities Build and ship cloud-based solutions across AWS, Azure, or Google Cloud Operate effectively in distributed environments to enable fast-paced deliveries Collaborate with Agile teams to boost efficiency and adapt to changing requirements Maintain automated testing and continuous integration workflows Leverage new technologies to deliver modern, reusable solutions Support teammates with a focus on improving overall efficiency Own solutions and drive them through completion Communicate clearly and proactively across global teams Requirements Hands-on 3+ years of Java experience with a primary focus on build and delivery rather than pure coding Solid background in cloud-based solutions such as AWS, Azure, or Google Proven experience working effectively in distributed environments Working knowledge of Java and .NET frameworks Good understanding of Cloud based VM, Cloud compute, and Containerization Practical familiarity with GitLab and GitLab pipelines Strong SQL skills including Oracle and MS SQL Server Demonstrated ability to collaborate in Agile teams Proven expertise in automated testing and continuous integration English proficiency at B2 (Upper-Intermediate) level or higher Nice to have Knowledge of Rates and Credit bonds and derivatives Familiarity with Microsoft Azure EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.