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Adaptyv Biosystems

AI-driven wet lab for protein design

Platform Reliability & Performance Engineer

Site Reliability EngineeringPosted on Nov 13
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Production reliability experience running systems where uptime and latency mattered, with an understanding of failure modes and service-level objectives.
  • Experience profiling real systems and measurably improving performance or cost.
  • Strong software fundamentals, including production Python or TypeScript and the tests and tooling that make work repeatable.
  • Experience in site reliability engineering, platform engineering, or backend engineering.
  • Hands-on experience with observability tooling, continuous integration and continuous delivery, and infrastructure as code.

Responsibilities

  • Own the alerts and traces the team relies on to detect problems before customers do.
  • Profile and optimize compute jobs and application programming interfaces to increase throughput while controlling cost and latency.
  • Improve the speed and reliability of continuous integration, builds, deployments, and local development setup.
  • Set service-level objectives; handle incident response and postmortems; and maintain a sustainable on-call process.
  • Maintain platform security and currency by managing dependencies, secrets, software supply chain concerns, and infrastructure migrations.

About the Company

Adaptyv Biosystems

AI-driven wet lab for protein design

Adaptyv Biosystems builds an automated, AI-native wet lab for protein design validation. Customers submit digital protein sequences via web or API; Adaptyv synthesizes DNA, expresses proteins in a cell-free system, and measures binding with SPR, delivering validated experimental data through an API-ready workflow. The platform offers end-to-end automation and direct integration with AI and lab software, enabling scale beyond traditional lab capacity. Its goal is to close the gap between AI-designed proteins and experimental validation, expand lab throughput, and support customers from frontier AI labs to large pharma.

Company size
11-50
Company stage
Series A
Total funding
$48.5M
Headquarters
Lausanne, Switzerland
Founded
2020

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