baseten · San Francisco
Skills: Docker
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Join Cloud Platform Engineering to own the Kubernetes fleet that runs our production AI workloads. You’ll turn manual cluster operations into reliable, repeatable systems—from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire fleet. This is a hands-on software engineering role with ownership from design through production. You’ll build APIs, controllers, and automation that make infrastructure easier to operate, reduce configuration drift, and bring GPU capacity online seamlessly to power the AI inference business growth. EXAMPLE INITIATIVES - Unify Kubernetes platform configuration under GitOps, replacing duplicated cluster manifests with shared configuration and explicit provider overrides. - Automate cluster onboarding and provisioning with reusable infrastructure templates, readiness checks, and recoverable workflows. - Build controllers and rollout mechanisms for fleet upgrades and workload-aware maintenance. RESPONSIBILITIES - Design, build, and operate services, APIs, and Kubernetes controllers that automate cluster lifecycle management. - Develop reusable Terraform modules and GitOps configuration that work across cloud and GPU infrastructure providers. - Make infrastructure changes safe through validation, staged rollouts, clear ownership boundaries, and tested recovery paths. - Build observability i…
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