A health platform scaling joyful careneeds a lead who ships.

London (Hybrid — 3 days/week at London Bridge HQ)

Do Health needs a Founding Backend Engineer who can own major backend features end-to-end, scale blood testing infrastructure across the UK & internationally, and build production AI-driven preventative health personalization engines—all while staying hands-on under zero management layers. That aligns perfectly with my decade of player-coach engineering co-founding ELO (from EM to CIO). I have engineered cloud-native backend systems in TypeScript/Node.js, Go, and Python across 9 geographies, ranging from custom ERPs for trading businesses to compliant, specialized medical software (including patient progress tracking and medicine effectiveness tracking systems that drove clinical decisions for 2 separate multi-branch hospital groups). AI-native engineering is my current frontier: pushing squads toward system evals, agentic guardrails, deterministic hooks, and repeatable skills—ready to establish a robust foundation for Do Health's preventative care mission.

London (Hybrid — 3 days/week at London Bridge HQ)

Voy needs a player-coach who can lead a small, cross-functional team of frontend & backend engineers, be the technical partner to the product manager on what's feasible, and stay hands-on from architecture through deployment — while keeping quality a habit and the team growing. That is the seat I have held for a decade: I co-founded ELO, grew it into a 22-person cross-functional product engineering firm (design, engineering, QA, product, business), went Engineering Manager → CIO, and cut time-to-market 4× by establishing repeatable workflows, cloud-native solutions, cost optimizations, and consistent delivery mechanisms. I have shipped complex web & mobile apps for clients across 9 geographies, ranging from custom ERPs for trading businesses to compliant, specialized medical software (including patient progress tracking and medicine effectiveness tracking systems that drove clinical decisions for 2 separate multi-branch hospital groups). AI-native engineering is my current frontier: pushing squads toward system evals, agentic guardrails, deterministic hooks, and repeatable skills — landing right as Voy scales everyday care to a million-plus members.