Platform Reliability & Performance Engineer
Adaptyv
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This role on the market
1,091 open reliability roles across 257 companies are on ApplySarthi right now, most of them in Bengaluru (62), Hyderabad (12), Pune (10).
- Sr. Aerospace Hardware Reliability Engineer, Prime AirAmazon
- Member of Technical Staff (Site Reliability Engineer, Crawler)Perplexity
- Staff Site Reliability EngineerUforce
- Site Reliability Engineer IIJobgether
- Senior Site Reliability EngineerOracle · bengaluru
What reliability roles keep asking for: Python (50%), Observability (42%), Kubernetes (38%), AWS (32%), Terraform (30%), CI/CD (27%), Linux (26%), System design (20%) — counted across their open postings here.
CI/CD jobs · Observability jobs · Python jobs · Supply chain jobs
Adaptyv has 41 open roles listed here.
- Partnerships Manager, AI & Frontier Labs
- Special Projects, Ops Generalist
- Head of Partnerships (AI & Biotech)
- Cell Culture Engineer
- Startup Operations Generalist
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for reliability roles keep coming back to Python, Observability, Kubernetes, AWS. Practise those questions before you sit with Adaptyv.
Questions you are likely to be asked
- Why do you want to join Adaptyv?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Platform Reliability & Performance Engineer at Adaptyv interview free →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. Find more English Speaking Jobs in United Kingdom on Arbeitnow
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Listed on arbeitnow · posted 2026-11-14. ApplySarthi collects openings and links to application pages; the role is advertised by Adaptyv, not by us.