We are seeking an exceptional Senior Software Engineer to become part of our team.
This position goes beyond conventional backend engineering - we need practical, hands-on professionals capable of quickly getting up to speed with unfamiliar systems, shipping complete solutions, and harnessing cutting-edge AI tooling to speed up the development process. Members of this team will operate as high-leverage problem solvers, shifting between teams to address production incidents, build new capabilities, and strengthen system stability — frequently while facing tight deadlines and operating in highly uncertain conditions.
Responsibilities
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Quickly get familiar with unknown codebases, set up and run applications in local environments, and ship functional solutions on aggressive schedules
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Investigate and fix challenging production problems spanning multiple platform teams
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Take full ownership of feature delivery from start to finish, covering implementation, integration testing, and incorporation into CI/CD pipelines
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Operate within distributed systems and large-scale enterprise microservices environments
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Apply AI assistants (such as Copilot, Claude Code, or comparable tools) to write and refine code, build and improve test cases, and streamline debugging and engineering tasks
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Carefully review AI-generated results and address any flaws, false assumptions, or errors
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Set up, debug, and enhance build pipelines through tools like Gradle, Maven, and various CI workflows
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Partner with platform teams to handle incidents and put safeguards in place to avoid future occurrences
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Lead SWAT initiatives and steer cross-functional resolution activities (applicable to the lead role)
Requirements
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A minimum of 3 years of professional software engineering experience
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Substantial background in large-scale distributed systems and microservices-based architectures
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Strong command of Java for developing backend services
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Practical knowledge of designing and integrating with REST APIs
Demonstrated capability to handle a system end-to-end on your own — from clone build debug modify test- integrate into a CI pipeline
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Working experience with CI/CD pipelines (such as GitHub Actions or equivalent) for automating builds, tests, and deployments
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Direct experience with build tools including Gradle and Maven, alongside dependency and environment management
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Advanced troubleshooting and root cause analysis abilities covering build issues, dependency conflicts, and runtime errors
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Real-world experience integrating AI tools into engineering workflows beyond simple autocomplete, including crafting structured prompts, designing multi-step AI-assisted processes, and refining generated results
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Capability to verify the accuracy of AI-produced code, spot missing pieces or flawed assumptions, and polish outputs to a production-ready standard
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Clear judgment about when AI can speed up engineering work versus when hands-on coding is more appropriate
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Capacity to thrive under tight deadlines, in ambiguous situations, and with limited oversight
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Strong written and spoken English communication skills (B2+ proficiency or above)
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Nice to Have
Nice to have
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Background in Kotlin for JVM-based or backend development
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Practical exposure to Spring Boot for delivering production-ready microservices
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Familiarity with agent-based frameworks or agent orchestration platforms (such as Claude Code, LangGraph, or similar)
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Working knowledge of advanced engineering environments and productivity utilities (such as tmux, Warp, or custom scripting setups)
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Background working with Go (Golang) for backend service implementation
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
