Senior Software Engineer (Python, Spark)

🏢 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: Senior Java Software Engineer role focused on building complex, data-driven solutions for financial services within a data engineering initiative. The position involves designing and optimizing data sourcing, processing, and ingestion pipelines using modern cloud and big data technologies. You will work on mission-critical systems supporting portfolio management, investment operations, and regulatory platforms. 🗂️ Requirements: Bachelor’s degree in Computer Science or relevant certification, Proficiency in Java, Proficiency in Spark, Proficiency in Python, Experience with data streaming and real-time and batch processing, Experience with CI/CD pipelines (ADO, GitHub or GitLab), Experience with TDD, Experience with cloud architecture (Azure, AWS or GCP), Experience with Hibernate and relational databases, Knowledge of software design principles 📃 Skills: Java, Spark, Python, AWS, Azure, GCP, Databricks, Kubernetes, Hibernate, SQL, GitHub, GitLab, ADO, CI/CD, TDD 🏢 Description: We are looking for a Senior Java Software Engineer to join our team working on complex, data-driven solutions for the financial services domain. The role is part of a data engineering initiative focused on data sourcing, processing, and ingestion for mission-critical applications. You will contribute to projects supporting Portfolio Management, Investment Operations, Regulatory Reporting, ETF platforms, Data and Workflow Management, as well as systems used for Investment Strategy and Research. This is an excellent opportunity to work with modern cloud technologies and large-scale data platforms in a highly impactful environment. This role offers a hybrid model, with 3 days per week working from the client's office in Krakow. If you're ready to make an impact in a dynamic environment, we want to hear from you! Responsibilities Design, develop, and maintain high-performance Java-based applications for data engineering solutions Build and optimize data sourcing, transformation, and ingestion pipelines Develop and integrate services using AWS cloud services Implement robust persistence layers using Hibernate and relational databases Collaborate with data engineers, analysts, and business stakeholders to deliver scalable solutions Ensure high code quality through best practices, code reviews, and automated testing Troubleshoot, debug, and optimize performance of existing systems Contribute to architectural decisions and technical design discussions Requirements Bachelor’s degree in Computer Science or relevant certification Working with modern technologies such as data streaming, real-time and batch processing; experience with Databricks and Kubernetes is advantageous Proficiency with Java, Spark and Python Significant experience with DevOps CI/CD pipelines and concepts - ADO, GitHub or Gitlab Significant experience using TDD Well versed in Cloud architecture and have delivered to one or more; Azure (preferred), AWS or GCP Experience of software design principles Worked with modern tech – data streaming, real-time & batch processing Databricks and Kubernetes We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. 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.

🏢 Summary: Senior Java Software Engineer role focused on architecting and developing scalable SaaS applications for AI-powered data analysis and compliance platforms. The position involves leading technical design, driving best practices, and improving CI/CD and platform quality. The engineer will work across the stack, aligning technical solutions with business needs and ensuring high software quality. 🗂️ Requirements: 5+ years of professional software development experience, 2+ years of experience delivering SaaS products, Proficiency in Java and at least one other language (Python or C#), Strong knowledge of algorithms, data structures, and computational complexity, Experience leading technical design and guiding development teams, Hands-on experience with at least two DevOps platforms: GitHub, Azure DevOps, GitLab, or Jenkins, Experience with CI/CD tooling and developer productivity practices, Ability to design technical solutions from specifications, Experience implementing redundancy and disaster recovery scenarios 📃 Skills: Java, Python, C#, SaaS, Algorithms, DataStructures, GitHub, AzureDevOps, GitLab, Jenkins, CICD, DevOps 🏢 Description: Position: Senior Java Software Engineer Salary: up to 26 000 PLN Form of employment: contract of employment Join our client, which makes software to help users organize data, discover the truth, and act on it. Their SaaS product manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance product proactively detects regulatory misconduct like insider trading, collusion, and other non-compliant behavior. They have more than 300,000 users in 49 countries serving thousands of organizations globally. Responsibilities: Architect, design, and develop model-based applications Guide product improvements across schema, framework, and platform Lead the team to best-practice technical design, by example and through collaboration Understand department-wide initiatives and guidelines, work with teams to ensure implementation is aligned with Engineering-wide policies and direction Maintain a backlog of tools or technology enhancements to improve the maintainability and quality of the solutions Encourage teams to work collaboratively by advising and enforcing best practices when needed Stay up-to-date with technologies and best practices related to CI/CD tooling and developer productivity Qualifications: 2+ years of professional experience delivering successful SaaS products. 5+ years of professional experience in software development Strong computer science fundamentals in algorithms, data structures, and computational complexity A self-starter driven to make an impact Strong communication skills, experience leading teams Proficiency in multiple programming languages, e.g, Java, Python, C# Able to learn at multiple levels of the stack – from fine-grained technical implementation to high-level control and data-flow. Comfortable working from Specifications to create a Technical Approach and scoping work Able to consider the Engineering solution in the business context Obsession with software quality and empathy for customer experience In-depth technical understanding and experience with at least two of the following DevOps Platforms: GitHub, Azure DevOps, GitLab, and Jenkins Experience implementing redundancy and disaster recovery scenarios Nice to have: Experience building AI-powered products that use Natural Language Processing or Machine Learning Knowledge of Linux Knowledge of NoSQL database systems such as MongoDB, Redis, and Elasticsearch Fundamental knowledge of Kubernetes and container-based systems Benefits: Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Senior Big Data Engineer role focused on designing and optimizing large-scale data processing solutions using Spark and Scala within the financial sector. The position involves building resilient data pipelines, supporting production systems, and collaborating in Agile teams to deliver scalable data platforms. Hybrid work model based in Warsaw with up to two remote days per week. 🗂️ Requirements: 3-5 years experience in big data engineering, Strong expertise in Spark, Proficiency in Scala or Java, Knowledge of Python, Experience with DevOps practices, Experience with CI/CD tools, Understanding of microservices architecture, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Scala, Java, Python, DevOps, CI/CD, Microservices, Airflow, Git, Scrum, BigData 🏢 Description: Empower data-driven innovation — shape the future of financial technology! Warsaw-based opportunity with hybrid work model (up to 2 remote days per week). As a Senior Big Data Engineer (Spark/Scala) , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and facilitates collaboration across multiple stakeholders in the finance sector. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery. Stay up-to-date with evolving big data technologies and implement best practices. Support applications, troubleshoot production issues, and ensure high quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You're ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance. Strong expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and microservices. Fluency in English (Polish and French are a plus). Analytical mindset with excellent problem-solving skills. Proactive attitude and strong teamwork skills across global teams. Effective communication skills and ability to work across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English (required) Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Opportunity to modernize a mission-critical aviation platform by designing and developing cloud-hosted backend services in a scalable, cloud-native AWS environment. The role focuses on building resilient APIs, improving automation and CI/CD pipelines, and managing Kubernetes-based infrastructure to support global aviation data distribution. You will contribute to a large-scale modernization initiative emphasizing scalability, security, and operational excellence. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, and PHP or Java, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Understanding of cloud security, monitoring, and production support practices, Strong troubleshooting and problem-solving skills, English proficiency at minimum B2 level 📃 Skills: AWS, Linux, Docker, Apache, PHP, Java, Kubernetes, CI/CD, IaC, SQL, SQLServer, MySQL, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision

🏢 Summary: Senior Java Software Engineer role focused on building and modernizing cloud-native platforms that connect trading systems with operations and regulatory applications within a global investment banking environment. The position involves developing scalable data processing and streaming solutions as part of a multiyear cloud transformation initiative. You will work in agile teams to migrate legacy systems and implement robust CI/CD-driven delivery pipelines. 🗂️ Requirements: Bachelor's degree in Computer Science or relevant technical certification, Strong proficiency in Java and object-oriented design, Hands-on experience with Apache Spark, Proficiency in Python, Experience with CI/CD pipelines and DevOps tools, Practical knowledge of TDD, Experience with cloud platforms (Azure, AWS, or GCP), Understanding of software design principles and patterns, Experience with agile development methodologies 📃 Skills: Java, Python, Apache, Spark, Azure, AWS, GCP, CI/CD, Azure, DevOps, GitHub, GitLab, TDD, Cloud, Databricks, Kubernetes 🏢 Description: For our client, a leading global investment banking institution, we are looking for a Senior Java Software Engineer who will be instrumental in transforming critical financial operations infrastructure. You'll work within an agile team to develop and deliver the strategic backbone that connects trading systems with operations and regulatory platforms, forming a cornerstone of the organization's digital transformation initiative. Our client operates in the investment banking and financial services domain, specifically focusing on digital operations transformation within regulatory and data management systems. This project is part of a multiyear strategic roadmap to migrate and leverage cloud technology to outperform existing technology stacks. The initiative plays a crucial role in enabling the investment bank to meet regulatory obligations while creating value from extensive financial data assets. You'll be part of the Digital Operations technology stream, working in small, autonomous agile teams that are empowered to respond to client demands while continuously improving the delivery experience. The team operates globally with members across multiple continents, fostering an inclusive and diverse collaborative environment. This role offers a hybrid model, with 3 days per week working from the client's office in Krakow, Poland. Ready to launch your career in cloud engineering? Apply now and join our global team! Responsibilities Design and develop strategic platforms enabling trade executions to flow seamlessly from trading systems to operations and regulatory applications Transform epics and features into robust, scalable functionality within cloud-native architectures Collaborate closely with agile pod members in sprint cycles to iteratively deliver on product requirements Work directly with product teams to understand and implement complex functional requirements Implement modern data streaming, real-time, and batch processing solutions Develop and maintain CI/CD pipelines using DevOps best practices Apply Test-Driven Development (TDD) methodologies to ensure code quality Contribute to cloud architecture design and implementation decisions Participate in code reviews and technical design discussions Support the migration of legacy systems to modern cloud-based solutions Requirements Bachelor's degree in Computer Science or relevant technical certification Strong proficiency in Java programming and object-oriented design principles Solid experience with Apache Spark for big data processing Proficiency in Python for data processing and automation tasks Significant experience with DevOps CI/CD pipelines and tools such as Azure DevOps, GitHub, or GitLab Strong background in Test-Driven Development (TDD) practices Proven experience with cloud architecture and deployment on Azure, AWS, or GCP platforms Deep understanding of software design principles and patterns Experience with agile development methodologies and sprint-based delivery Strong problem-solving and analytical skills Excellent communication and collaboration abilities Ability to work effectively in diverse, distributed teams Nice to have Experience with modern data streaming technologies and real-time processing frameworks Hands-on experience with Databricks for advanced analytics and machine learning Knowledge of Kubernetes for container orchestration and microservices deployment Understanding of financial services domain and regulatory requirements Experience with batch processing frameworks and data pipeline orchestration Familiarity with investment banking operations and trading systems Previous experience in digital transformation initiatives Knowledge of regulatory compliance frameworks in financial services We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. 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.

🏢 Summary: Senior Platform Engineer role focused on building high-performance internal platform products and APIs for a global trading environment, treating infrastructure as software. The position centers on developing production-grade Go/Python solutions, Kubernetes Operators, and automation to enable scalable, resilient systems. It combines platform engineering, SRE practices, and hybrid cloud integration in a low-latency setting. 🗂️ Requirements: 7+ years experience in SRE or Platform Engineering, Strong software engineering mindset, Expert-level Go or Python proficiency, Ability to build full products/services in Go or Python, Deep knowledge of Kubernetes, Experience building Kubernetes controllers/operators, Proficiency in Terraform (IaC), Experience automating SDLC processes, Experience designing RESTful APIs, Experience with observability in distributed systems, Solid understanding of AWS, Experience integrating cloud with on-premises environments 📃 Skills: Go, Python, Kubernetes, Terraform, AWS, REST, SDLC, Observability, IaC 🏢 Description: Senior Platform Engineer Are you an engineer who views infrastructure as a software problem? We are looking for a Senior Platform Engineer to join our global Platform Engineering team. In this role, you won't just be managing cloud resources—you will be architecting and building high-performance internal products that empower our quants and traders to operate at the highest level. The Offer Salary: Up to 50,000 PLN gross/month (UoP). Location: Hybrid ( 3 days a week from our Warsaw office). Impact: Build internal products and APIs that define how our global teams deploy and scale. Modern Tech: Focus on writing production-grade Go/Python and building K8s Operators . Environment: A high-stakes trading sector where engineering excellence and code quality are the standard. Core Responsibilities Product Engineering: Develop and architect common platform solutions with a focus on high-quality, maintainable code. Developer Autonomy: Build internal APIs and custom tooling to streamline the developer experience across the firm. Infrastructure as Software: Write production-grade code (Go/Python) for infrastructure automation, optimization, and custom orchestration. SRE Advocacy: Champion SRE practices by implementing testable, resilient, and highly available software solutions. High-Performance Collaboration: Partner with Quant and Trading teams to optimize service stability and performance in a low-latency environment. Requirements Experience: 7+ years in SRE or Platform Engineering roles with a strong Software Engineering mindset . Coding Mastery: Exceptional skills in Go or Python (you should be comfortable building full products/services, not just basic scripts). K8s Expertise: Deep knowledge of Kubernetes , including orchestration and building custom controllers/operators . Automation: Proficiency in Terraform (IaC) and experience automating complex SDLC processes. System Design: Experience with RESTful APIs and building observability for complex distributed systems. Hybrid Cloud: Solid understanding of AWS and managing integration with on-premises environments. Why Join Us? This isn't a traditional "Ops" role. We are building a platform that functions as a product. If you are a software engineer who is passionate about infrastructure, scalability, and clean code, you will thrive in our culture of technical rigor and innovation. Apply today to help us build the backbone of global institutional investing.

🏢 Summary: The offer is for a Software Engineer to modernize and develop cloud-hosted backend services for a mission-critical aviation platform used globally. The role focuses on building scalable, resilient, cloud-native solutions in AWS, improving automation, CI/CD, and Kubernetes-based environments. You will contribute to transforming a legacy system into a modern, secure, and highly scalable ecosystem. 🗂️ Requirements: Experience developing backend applications in cloud environments, Hands-on experience with Linux, Docker, Apache, PHP, Strong knowledge of AWS and cloud-native architectures, Experience with Kubernetes and containerized workloads, Experience with CI/CD and Infrastructure as Code, Knowledge of cloud security and monitoring practices, Ability to troubleshoot production systems, English B2 level or higher 📃 Skills: AWS, Linux, Docker, Apache, PHP, Kubernetes, CI/CD, IaC, SQL, MySQL, SQLServer, AI 🏢 Description: We are looking for a Software Engineer to join a team responsible for modernizing a mission-critical aviation platform used by tens of thousands of customers worldwide. You will help design, build, and evolve cloud-hosted backend services that support the distribution of aviation data across desktop, mobile, and aircraft-connected workflows. This is a unique opportunity to work on a high-impact product while contributing to a large-scale modernization initiative focused on cloud-native architecture, automation, scalability, security, and operational excellence. Working closely with cross-functional teams, you will help transform a well-established platform into a modern, resilient, and highly scalable ecosystem capable of supporting future growth and new product offerings. Key responsibilities Develop and modernize backend services hosted in AWS Design and implement scalable, resilient cloud-native solutions Build and improve APIs, integrations, and automated backend processes Enhance CI/CD pipelines, infrastructure automation, monitoring, and observability Manage and troubleshoot Kubernetes-based environments and containerized applications Support production systems and drive reliability, security, and operational improvements Collaborate with product, mobile, desktop, QA, and DevOps teams to deliver high-quality solutions Leverage AI-assisted development tools to improve engineering efficiency while maintaining high standards of quality and security Ideal candidate profile Experience developing backend applications in cloud environments Hands-on experience with Linux, Docker, Apache, and PHP or Java Strong knowledge of AWS and cloud-native architectures Experience with Kubernetes and containerized workloads Experience with CI/CD, Infrastructure as Code, and automation Understanding of cloud security, monitoring, and production support practices Strong troubleshooting and problem-solving skills Ability to work independently and collaborate within distributed teams English min. B2. Nice to Have: Experience modernizing legacy applications and services Experience with SQL Server and MySQL Experience building highly available and resilient production systems Experience using AI-assisted software development tools Conditions Employment type: B2B or UoP Location: Gdańsk Work model: 1 day a week in the office in Gdańsk or less frequently, depending on your availability Salary: up to 190 PLN net/h Benefits: life insurance, private healthcare, Multisport card Recruitment steps Recruitment call with Agnieszka from KUBO Client interview (may require 2 rounds) Feedback and decision