We are searching for an exceptional Lead Software Engineer to join our team.
This position is far more than a standard backend engineering role - we need delivery-driven professionals who can quickly adapt to new systems, build robust solutions, and leverage modern AI tools to accelerate development. As a member of this team, you will be a key problem solver, moving across different groups to resolve urgent production issues, launch new features, and strengthen system reliability, often under demanding timelines and in fast-changing environments.
Responsibilities
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Quickly get up to speed with unfamiliar codebases, set up applications locally, and deliver results within tight deadlines
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Identify and resolve complex production issues that affect multiple platform teams
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Oversee the complete lifecycle of feature delivery, including development, integration testing, and release through CI/CD pipelines
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Participate in the design and maintenance of distributed systems and large-scale microservice architectures
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Utilize AI copilots like Copilot, Claude Code, or similar tools to generate and refine code, enhance test suites, and optimize debugging and daily engineering tasks
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Review AI-generated code carefully, correcting errors, assumptions, or missing information
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Build, troubleshoot, and enhance pipelines using tools such as Gradle, Maven, and various CI setups
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Work closely with platform teams to address incidents and implement preventative solutions
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Lead SWAT initiatives and coordinate cross-team efforts for incident resolution
Requirements
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At least seven years of hands-on experience as a software engineer
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Minimum one year of experience leading and managing development teams
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Extensive background working with enterprise-level distributed systems and microservice architectures
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Strong expertise in Java for backend development
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Experience designing, building, and integrating REST APIs
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Demonstrated ability to independently manage projects from cloning to building, debugging, modifying, testing, and integrating into CI pipelines
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Practical experience with CI/CD platforms like GitHub Actions for automating build, test, and deployment workflows
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Solid understanding of build tools such as Gradle and Maven, including dependency and environment management
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Advanced skills in diagnosing and analyzing build failures, dependency issues, and runtime errors
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Proven experience integrating AI tools into development processes, including structured prompt creation, multi-step workflows, and iterative refinement
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Ability to assess AI-generated code, identify gaps or incorrect assumptions, and elevate output to production standards
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Sound judgment on when to use AI for speed and when to rely on traditional engineering
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Ability to perform effectively under pressure, in ambiguous situations, and with minimal supervision
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High proficiency in English, 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 knowledge of Spring Boot for building production microservices
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Familiarity with agent-based frameworks or orchestration tools like Claude Code or LangGraph
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Skill in using advanced developer environments and productivity tools such as tmux, Warp, or scripted 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
