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We are seeking Lead Software Engineers to join our team.
This role is not limited to standard backend development - we’re looking for resourceful professionals who can quickly adapt to new technologies, deliver robust solutions, and leverage AI tools to optimize development workflows. You will play a vital role in addressing urgent issues, collaborating across teams to resolve production incidents, launch new features, and enhance system reliability in fast-paced and changing environments.
Responsibilities
- Rapidly understand and work with unfamiliar codebases, set up applications locally, and deliver outcomes within tight deadlines
- Diagnose and resolve complex production challenges across multiple platform teams
- Oversee feature development from initial coding through integration testing and deployment using CI/CD pipelines
- Participate in the design and maintenance of distributed systems and enterprise microservices
- Utilize AI copilots like Copilot, Claude Code, or similar tools to generate code, expand test coverage, and streamline debugging and development tasks
- Review AI-generated code, correcting errors, assumptions, or missing information
- Build, maintain, and improve pipelines using Gradle, Maven, and various CI tools
- Work alongside platform teams to resolve incidents and implement preventative solutions
- Lead SWAT efforts and coordinate cross-team responses for incident resolution
Requirements
- Seven or more years of hands-on experience in software engineering
- At least one year of experience leading and mentoring development teams
- Extensive experience with enterprise distributed systems and microservice architectures
- Advanced proficiency in Java for backend development
- Experience designing, developing, and integrating REST APIs
- Ability to independently manage projects from cloning, building, debugging, modifying, testing, to CI pipeline integration
- Practical experience with CI/CD platforms such as GitHub Actions for automating build, test, and deployment
- Thorough understanding of build tools like Gradle and Maven, including dependency and environment management
- Expertise in diagnosing build failures, dependency conflicts, and runtime issues
- Demonstrated use of AI tools in development, including structured prompts, multi-step workflows, and iterative refinement
- Ability to assess AI-generated code, identify gaps or incorrect assumptions, and ensure production-quality output
- Strong judgment in deciding when to use AI and when to rely on manual engineering
- Ability to perform well under pressure, in ambiguous situations, and with minimal supervision
- Excellent English communication skills, both written and spoken (B2+ level or higher)
Nice to have
- Experience with Kotlin for backend or JVM development
- Hands-on familiarity with Spring Boot for microservice development
- Knowledge of agent-based frameworks or orchestration tools like Claude Code or LangGraph
- Skill with advanced developer environments and productivity tools such as tmux, Warp, or scripting workflows
- Previous experience with Go (Golang) for backend development