This is a senior, hands-on technical leadership role. You will be embedded in a team delivering for a client in a fast-paced, product-led environment, and you will be accountable for how your workstream is delivered, not just the code you write. You lead from the front: still close enough to the technology to make the call, and senior enough to own the outcome. You set the technical direction, keep the delivery signal honest, and grow the engineers around you. We work at pace. Priorities move, requirements are rarely perfect on day one, and we value people who can bring order to ambiguity rather than wait for it to clear.
How we work with AI:
AI-assisted development is core to how we build, not a side experiment. We use modern AI coding agents to remove the drudgery so engineers can focus on the high-value decisions: architecture, trade-offs, and getting the right thing built. Humans own every change, and quality is held by review and ownership, not by the tool. As a Tech Lead you will help raise the quality and consistency of how the team uses AI: knowing the domain and the codebase well enough to steer the tools, avoid reinventing what already exists, and articulate intent clearly so the AI accelerates good engineering rather than multiplying mediocre code.
Our tech stack Core: Java (with Spring Boot) A roughly even split of RESTful Java APIs and Kafka / event-driven services CI/CD pipelines AWS (including S3, Lambda, ECS, EKS, MSK) Broader ecosystem you will get your hands on: Kubernetes and containerisation Infrastructure as code AI integrations and agentic development workflows Strong security practices across the stack Full DevOps ownership (“you build it, you run it”)
You will not need all of this from day one, but these are the tools, systems and practices you will work with.