Lead Java Engineer
Grid Dynamics Holdings, Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior Java backend with GenAI specialization at a known consulting firm yields medium competition.
Specialized Java backend and GenAI integration skills are transferable but favor candidates with similar enterprise AI experience.
Explicit 8–12 years, leadership experience, and detailed tech stack make filters highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and deliver end-to-end design, development, testing, deployment, and production of secure, scalable Java/Spring Boot backend microservices with integrated LLM-powered AI capabilities.
Provide technical leadership including mentoring engineers, driving best practices for secure, observable, and responsible AI software delivery, and improving engineering velocity via CI/CD, automation, and AI-assisted development tools.
Own design and operational responsibility across backend platforms, cloud-native systems, distributed services, and AI integration involving GenAI, RAG, AI agents, workflow orchestration, and multi-agent systems.
Minimum Requirements
8–12 years total software engineering experience with 3–5 years leading engineering squads or complex initiatives while remaining hands-on.
Expertise in Java and Spring Boot with microservices architecture, REST APIs, and API-first design.
Experience with cloud platforms (AWS, GCP, Azure), container orchestration (Docker, Kubernetes), and backend databases (MySQL, PostgreSQL, MongoDB, Cassandra).
Work Experience Required: 8–12 years software engineering with 3–5 years leadership; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Senior engineer comfortable balancing hands-on development with technical leadership and mentorship in complex backend and AI-enabled applications.
Experienced in integrating and operationalizing advanced AI technologies including GenAI, LLM platforms, RAG, and AI agent systems within production-grade software.
Able to translate product requirements to actionable technical plans and raise engineering standards through code reviews and process improvements.