We are searching for a top-tier Senior Software Engineer to come aboard our team.
This opportunity reaches beyond standard backend roles — we want practical, action-oriented engineers who can swiftly adapt to new systems, ship complete working solutions, and tap into modern AI capabilities to boost development speed. Engineers in this team will serve as high-value problem solvers, moving between different groups to fix live production issues, deliver new features, and reinforce system reliability — usually under tight schedules and in highly fluid circumstances.
Responsibilities
-
Get acquainted quickly with new code repositories, install and run applications on local machines, and ship working results within strict deadlines
-
Pinpoint and resolve intricate production faults that impact several platform teams
-
Steer features through the entire delivery cycle, from writing code and adding integration tests to deploying via CI/CD pipelines
-
Engage with distributed system landscapes and large enterprise microservice setups
-
Tap into AI-driven assistants (such as Copilot, Claude Code, or comparable offerings) for writing and improving code, generating and polishing tests, and easing debugging and routine engineering activities
-
Examine AI-produced results closely and correct any errors, mistaken assumptions, or missing details
-
Construct, repair, and optimize build pipelines with technologies including Gradle, Maven, and an array of CI setups
-
Cooperate with platform teams to address incidents and roll out safeguards that prevent reoccurrence
-
Spearhead SWAT operations and orchestrate cross-team resolution work (applies to the lead role)
Requirements
-
Three or more years of practical software engineering experience
-
Strong background contributing to enterprise-scale distributed systems and microservice-based designs
-
Confident command of Java for crafting backend services
-
Practical know-how in designing, building, and consuming REST APIs
Demonstrated independence in carrying a project end-to-end — from clone build debug modify test- integrate into a CI pipeline
-
Direct experience with CI/CD systems (such as GitHub Actions or similar) used to automate building, testing, and deployment
-
Working command of build technologies like Gradle and Maven, plus dependency control and environment configuration
-
Strong analytical and root cause investigation abilities for build problems, dependency conflicts, and runtime failures
-
Authentic experience weaving AI tools into engineering routines beyond basic autocomplete, encompassing carefully structured prompts, layered AI-driven workflows, and iterative tuning of generated content
-
Skill in validating AI-generated code, identifying missing components or incorrect assumptions, and shaping the output to production-grade quality
-
Clear understanding of when AI tools improve efficiency and when conventional engineering effort is the better path
-
Comfort working under pressure, in murky situations, and with minimal direction
-
Strong English communication, both spoken and written (B2+ level or higher)
Nice to have
-
Working knowledge of Kotlin for backend or other JVM-based engineering
-
Practical use of Spring Boot for delivering microservices ready for production
-
Experience with agent-oriented frameworks or agent orchestration platforms (such as Claude Code, LangGraph, or similar)
-
Comfort using advanced developer tooling and productivity setups (such as tmux, Warp, or custom scripted workflows)
-
Past engineering work in Go (Golang) for backend service development
We offer
-
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
