Do Health

Backend engineer in digital health

In short

Senior backend engineer role at Do Health, a preventative health startup built inside Voy (a fast-growing UK digital health company), to own end-to-end backend features, shape architecture, scale blood-testing infrastructure, and build production AI/personalisation systems. The team works closely with product, design and clinical staff, with no strict stack requirement (TypeScript/Node.js preferred, but Go, Kotlin or Python also welcome). Demands 5–8 years of backend experience with strong ownership, architectural thinking, and comfort with ambiguity; hybrid role based in London.

About
Do Health is a mobile-first preventative health product, co-founded by Dr Rangan Chatterjee and built as an independent startup inside Voy — one of the UK's fastest-growing digital health companies (~2x YoY growth, over 1 million members across the UK, Germany and Brazil), already working across men's health, metabolic health, menopause, hormonal health, TRT and dermatology. Do Health is Voy's next chapter: the first product built not to treat illness, but to prevent it. We test people's blood regularly, track how it changes over time, and turn results into a personalised programme across four pillars — Eat, Move, Sleep, Relax — that helps someone make small changes they can actually keep.
Responsibilities
•Own major backend features end-to-end — design, build, ship, monitor, iterate. Not "contribute to" — own.
•Shape architecture alongside the lead. Real technical decisions, made by you, kept or changed based on what works.
•Scale our blood testing infrastructure across the UK and internationally as we expand.
•Build production AI systems — personalisation engines that act on longitudinal health data at scale.
•Improve reliability, observability, and the foundations that everything else depends on as the product grows.
•Work directly with product, design, and clinical teams. No tickets thrown over walls.
Requirements
•5–8 years of backend experience with strong fundamentals. We care more about depth than years.
•Experience at a startup or scale-up where you genuinely owned things.
•Architectural thinking.
•You can hold an end-to-end technical conversation about systems you've built — what trade-offs you made, what broke, what you'd do differently.
•A track record of shipping reliable systems. Not just features — the boring infrastructure that keeps them up.
•Comfort with judgement calls in ambiguous situations. Most decisions here don't have a clear right answer.
•Confident, responsible use of AI tools in your workflow. Not "vibe coding" — using them as a force multiplier where they help, ignoring them where they don't.
Nice to have
•Strong TypeScript / Node.js experience (it's our primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar)
•Experience scaling systems to high user volumes
•Exposure to ML/AI systems in production
•Healthcare or regulated-industry experience
Conditions
No conditions stated in the posting.

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