Adaptyv is building an automated lab that lets AI agents run biology experiments.
We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.
We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.
Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.
We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.
About the Role
Our lab is scaling fast, and every system behind the platform takes more load each month. Customers and AI labs build automated workflows on our API, so it has to stay fast and up.
You own platform reliability and performance: observability, compute performance and cost, CI and developer tooling, and the infrastructure underneath.
What You'll Do
Own observability. Alerts and traces the team relies on, so we see a problem before a customer does.
Drive performance and cost. Profile and optimize our compute jobs and APIs, so throughput grows faster than cost and latency.
Make developers fast. Fast, reliable CI, builds, deploys and local setup.
Set reliability targets. SLOs, incident response, postmortems, and an on-call that people can live with.
Keep the platform secure and current. Dependencies, secrets, supply chain and infra migrations, handled before they become fires.
What We're Looking For
Production reliability experience. You have run systems where uptime and latency mattered, and you think in failure modes and SLOs.
Performance depth. You have profiled real systems and made them measurably faster or cheaper.
Developer-experience mindset. You treat your teammates as users.
Strong software fundamentals. Production Python or TypeScript, plus the tests and tooling that make the work repeatable.
Autonomous and pragmatic. You find what needs doing without a spec, and you know when to harden and when to ship.
Technical fit. SRE, platform or backend experience. Hands-on with observability tooling, CI/CD and infrastructure as code.
Location: London.
Application deadline
We are reviewing applicants on a rolling basis.