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About the role
AI and agent tooling is the clearest example. You will contribute to how models are trained and served here, as well as how agents work inside our codebase: the environments they run in, the verification that makes their output trustworthy, and the review paths that keep it all legible. There is no industry standard and you’ll help form our opinions rather than inheriting one.
What they're looking for
- You have 8+ years building and operating production distributed systems, or equivalent server-side engineering with a heavy infrastructure focus
- You effectively leverage agents to multiply your impact and think critically about how and when to harness AI in your work
- You've run systems where failure was expensive, and your opinions about reliability and deployment come from consequences rather than reading
- You've carried a pager, commanded an incident, and rolled back before you understood why
- You use SLOs and error budgets as operating tools
- You’ve used a major cloud provider and Kubernetes in production, with infrastructure-as-code as your default
More about this role
Platform owns the foundation the company runs on: compute and deployment, reliability and on-call, CI/CD and monorepo health, developer environments, the infrastructure that model training and inference run on, and the security boundaries around all of it.
AI and agent tooling is the clearest example. You will contribute to how models are trained and served here, as well as how agents work inside our codebase: the environments they run in, the verification that makes their output trustworthy, and the review paths that keep it all legible. There is no industry standard and you’ll help form our opinions rather than inheriting one.
Our users are other engineers. Expect to spend time with all the other engineering teams, understanding their needs and building a roadmap. The scope is large, so you'll be choosing what to leave alone as much as build.
Architecture decisions here last: this is a small team covering a large surface. You'll have real room to decide things, and you'll stay close to the systems you decide about.
- Own our platform: GCP, Kubernetes, Temporal, the GPU fleet behind cloud export, and the deploy and rollback machinery everything ships through. You'll be in the...
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