Senior Software Engineer (Cloud / Java / Python)
We are seeking a Senior Software Engineer (Cloud / Java / Python) to build cloud-native backend services with Java, Python, and microservices. You will deliver REST APIs, collaborate in an Agile team across QA/DevOps/product, and apply clean code plus AI-assisted practices like spec-driven development, AI agents, and MCP workflows—apply now.
Responsibilities
- Design, build, and maintain scalable backend services and microservices
- Implement and improve RESTful APIs and integrations
- Work with cloud-based infrastructure and distributed systems
- Collaborate with architects, product owners, QA engineers, and DevOps teams
- Review code, troubleshoot issues, debug defects, and optimize performance
- Ensure reliability, scalability, security, and maintainability of applications
- Contribute to CI/CD processes and promote engineering best practices
- Create and support technical documentation and knowledge-sharing activities
- Participate in Agile ceremonies and delivery planning
- Clarify technical requirements proactively, surface ambiguities, and ask targeted questions to align before implementation
- Leverage AI-assisted engineering tools and modern development practices to increase productivity and delivery quality
Requirements
- Proven experience of 3+ years in Java and Python development
- Hands-on experience with microservices architecture
- Practical experience developing and integrating REST APIs
- Solid understanding of cloud technologies and cloud-native development
- Hands-on experience with version control systems such as Git
- Familiarity with CI/CD pipelines and DevOps practices
- Strong knowledge of software design principles and clean code practices
- Experience working in Agile/Scrum environments
- Excellent analytical, troubleshooting, and communication skills
- Experience with Spring Boot or similar frameworks
- Exposure to AI-assisted development tools such as GitHub Copilot
- Basic understanding of AI-driven or spec-driven development approaches
- Understanding of AI agents, MCP concepts, and how AI tooling can support engineering workflows
- Strong ability to gather, refine, and clarify technical requirements through proactive communication and questioning
- English proficiency at B2 level or higher
Nice to have
- Experience with Docker and Kubernetes
- Knowledge of messaging systems, databases, and distributed systems
- Experience working with AI-native engineering workflows or agent-based development approaches
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn