About the Company
A global technology company building a leading collaborative product development platform for retail. Its technology, enhanced with AI-driven capabilities, helps retailers and brands bring products to market faster, smarter, and more sustainably, while solving real challenges across global supply chains.
What we’re looking for
The Engineering Team Lead is a player-coach who splits time approximately 50% writing production code and 50% on planning, technical direction, and team development. This role leads a small fullstack engineering team within a distributed SaaS environment, shipping features end-to-end across backend and frontend systems.
AI-native development is a core expectation, not a differentiator. The right candidate uses AI tools daily, has a clear point of view on what works and what doesn’t, and can pilot and standardize these practices across the team with measurable outcomes.
Key Responsibilities
- Design and ship fullstack features end-to-end: services and APIs in Java, data schema in PostgreSQL, and UI in React.
- Lead technical design for distributed systems (microservices, event-driven architectures with Kafka or similar): write design docs and evaluate tradeoffs.
- Modernize legacy code and lead monolith-to-microservices migrations.
- Use AI coding tools daily and back your opinions with concrete examples.
- Pilot and standardize AI and agentic workflows (code, review, QA, docs) with clear guardrails and measurable results.
- Raise the quality bar through code reviews, pairing, and your own PRs.
- Coach engineers with clear expectations, direct feedback, and 1:1s.
- Run planning, prioritization, and estimation against the roadmap, turning ambiguous requirements into clear plans.
- Improve CI/CD (Docker), testing (JUnit, Playwright, Cypress), and observability practices on Azure, AWS, or GCP.
Qualifications
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: Java + PostgreSQL; Frontend: React.
Strong system design skills: distributed systems, REST APIs, event-driven architectures, microservices, and data-intensive applications.
Production operational experience: Docker, CI/CD, and observability.
AI-native workflow: active daily use of AI coding tools; able to explain what you use, what you stopped using, 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.
English Level: Fluent (C1/C2) is mandatory.
Preferred
Familiarity with NoSQL databases (e.g., MongoDB, Redis).
Kubernetes experience is an advantage.
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