Engineering Team Lead – Java, React

• Split time approximately 50% writing production code and 50% on planning, technical direction, and team development
• Lead a small fullstack engineering team within a distributed SaaS environment
• Design and ship fullstack features end-to-end across Java services and APIs, PostgreSQL data schemas, and React UI
• Lead technical design for distributed systems, including microservices and event-driven architectures with Kafka or similar technologies
• Write design documents and evaluate technical tradeoffs
• Modernize legacy code and lead monolith-to-microservices migrations
• Use AI coding tools daily and support opinions with concrete examples
• Pilot and standardize AI and agentic workflows for code, review, QA, and documentation with guardrails and measurable results
• Raise engineering quality through code reviews, pairing, and personal pull requests
• Coach engineers through clear expectations, direct feedback, and one-to-one meetings
• Run planning, prioritization, and estimation against the roadmap
• Turn ambiguous requirements into clear plans
• Improve CI/CD, testing, and observability practices across Azure, AWS, or GCP

• 7+ years of professional engineering experience, including 3+ years leading delivery as a team lead or tech lead
• Strong fullstack capability: deep on one side, real working competence on the other
• Backend expertise in Java and PostgreSQL
• Frontend expertise in React
• Strong system design skills: distributed systems, REST APIs, event-driven architectures, microservices, and data-intensive applications
• Production operational experience with Docker, CI/CD, and observability
• Active daily use of AI coding tools; able to explain what is used, what was stopped, and why, with examples
• Test automation experience with JUnit, Playwright, or Cypress
• Experience with cloud platforms: Azure preferred; AWS or GCP acceptable
• Experience working in Agile, cross-functional teams
• Excellent written and verbal communication skills; able to represent technical decisions clearly across teams
• Fluent English at C1/C2 level is mandatory
• Familiarity with NoSQL databases such as MongoDB or Redis is preferred
• Kubernetes experience is an advantage