We are looking for a strong Senior Software Engineer to join our team.
This role is not a traditional backend engineering position - we are seeking hands-on engineers who can rapidly onboard onto unfamiliar systems, deliver end-to-end solutions, and leverage modern AI tooling to accelerate development workflows. Engineers in this team will act as high-impact problem solvers, moving across teams to resolve production issues, implement new functionality, and improve system reliability - often under time pressure and in highly ambiguous environments.
Responsibilities
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Rapidly onboard onto unfamiliar codebases, build and run applications locally, and deliver working solutions within tight timelines
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Diagnose and resolve complex production issues across multiple platform teams
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Own end-to-end delivery of features, including implementation, integration-level testing, and CI/CD pipeline integration
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Work across distributed systems and enterprise-scale microservices architectures
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Leverage AI tools (e.g., Copilot, Claude Code, or similar) to generate and iterate on code, create and refine test cases, and accelerate debugging and development workflows
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Critically evaluate AI-generated output and correct gaps, assumptions, or inaccuracies
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Configure, troubleshoot, and improve build pipelines using tools such as Gradle, Maven, and CI workflows
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Collaborate with platform teams to resolve incidents and implement measures to prevent recurrence
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Coordinate SWAT engagements and drive cross-team resolution efforts (for lead role)
Requirements
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At least 3 years of relevant software engineering experience
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Strong experience working with enterprise-scale distributed systems and microservices architectures
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Proficiency in Java for backend service development
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Hands-on experience designing and integrating REST APIs
Proven ability to take a system independently from clone build debug modify test- integrate into a CI pipeline
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Hands-on experience with CI/CD pipelines (e.g., GitHub Actions or similar) for automated build, test, and deployment workflows
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Practical experience with build tooling such as Gradle and Maven, including environment and dependency management
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Strong debugging and root cause analysis skills across build failures, dependency conflicts, and runtime issues
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Practical experience using AI tools in software development workflows beyond basic autocomplete, including structured prompt writing, multi-step AI-assisted workflows, and iterating on generated outputs
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Ability to validate the correctness of AI-generated code, identify gaps or incorrect assumptions, and refine outputs to production-quality level
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Solid understanding of when AI can accelerate development versus when manual engineering is required
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Ability to work effectively in high-pressure environments with high ambiguity and minimal guidance
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Excellent oral and written communication skills in English (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 experience with Spring Boot for building production-grade microservices
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Experience with agent-based or agent orchestration tools (e.g., Claude Code, LangGraph, or similar)
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Familiarity with advanced developer environments and productivity tooling (e.g., tmux, Warp, scripting workflows)
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Experience with Go (Golang) for backend service development
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
