We invite experienced Lead Software Engineers to join our team.
This role is more than classic backend engineering — we’re searching for driven professionals who can quickly adapt to new platforms, deliver robust solutions, and leverage AI technologies to enhance development speed. You’ll play a central role in solving critical issues, working across teams to address production incidents, launch new features, and improve system reliability in dynamic and fast-moving environments.
Responsibilities
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Quickly adapt to unfamiliar codebases, set up applications in local environments, and deliver results within tight deadlines
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Resolve complex production problems that impact multiple platform teams
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Oversee feature development from initial coding through integration testing and deployment via CI/CD pipelines
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Support the design and maintenance of distributed systems and enterprise microservices
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Utilize AI copilots like Copilot, Claude Code, or similar tools to generate code, expand test coverage, and streamline debugging and development processes
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Assess AI-generated code, correcting errors, assumptions, or missing information
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Build, maintain, and optimize pipelines using Gradle, Maven, and various CI tools
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Work with platform teams to address incidents and implement preventative strategies
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Lead SWAT efforts and coordinate cross-team responses for incident resolution
Requirements
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At least seven years of hands-on experience in software engineering
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Minimum one year of experience leading and mentoring development teams
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Extensive experience with enterprise distributed systems and microservice architectures
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Advanced proficiency in Java for backend development
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Background in designing, developing, and integrating REST APIs
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Ability to independently manage projects from cloning, building, debugging, modifying, testing, to CI pipeline integration
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Practical experience with CI/CD platforms such as GitHub Actions for automating build, test, and deployment
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Thorough understanding of build tools like Gradle and Maven, including dependency and environment management
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Expertise in diagnosing build failures, dependency issues, and runtime errors
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Proven use of AI tools in development, including structured prompts, multi-step workflows, and iterative refinement
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Ability to review AI-generated code, identify gaps or incorrect assumptions, and ensure production-quality output
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Strong decision-making skills regarding when to use AI and when to rely on manual engineering
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Ability to perform well under pressure, in ambiguous situations, and with limited supervision
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Excellent English communication skills, both written and spoken (B2+ level or higher)
Nice to have
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Experience with Kotlin for backend or JVM-based development
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Hands-on familiarity with Spring Boot for microservice creation
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Knowledge of agent-based frameworks or orchestration tools like Claude Code or LangGraph
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Skill with advanced developer environments and productivity tools such as tmux, Warp, or scripting workflows
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Previous experience with Go (Golang) for backend engineering
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
