Team / Tech Lead – Software Development

About the job

As a Team / Tech Lead, you are first and foremost a senior hands-on engineer who leads by building. You will spend a significant portion of your time writing, reviewing, and evolving production code while guiding a small engineering squad. This role is intentionally code-heavy. You set direction through architectural choices, code quality, and delivery decisions—not through process overhead. You will work closely with Architects and the Senior Manager to translate architectural intent into clean, modular, production-ready implementations. What You’ll Own - Hands-On Development (Primary Responsibility) - Design and implement core FLX ONE Cargo services and APIs using modern enterprise stacks - Own complex or high-impact parts of the codebase, setting patterns others follow. - Prototype, iterate, and refine solutions quickly (“vibe coding”) while maintaining production quality. - Actively participate in debugging, optimisation, and incident resolution in production. Technical Leadership Through Code - Lead by example through high-quality code, clear design choices, and pragmatic trade-offs. - Perform deep code reviews that improve correctness, performance, and maintainability. - Ensure features are built following modular design principles and agreed service boundaries. Delivery Ownership - Own end-to-end delivery of features from design through production rollout. - Break down ambiguous requirements into executable technical tasks. - Ensure services are observable, operable, and production-ready. Team Enablement & Mentorship - Mentor engineers by pairing, reviewing code, and sharing context—not by managing tasks. - Help early-career engineers grow into strong, independent contributors. - Foster a culture of ownership, speed, and continuous learning. Collaboration - Work closely with Platform Architects and Specialists to implement architectural patterns correctly. - Partner with Product to clarify intent and shape technically sound solutions. - Collaborate with AI/Data engineers to adopt AI-assisted tooling and developer accelerators where appropriate.