Senior Kubernetes Platform Engineer — AI Scheduler & Scale
Anthropic
New York, Seattle, San Francisco (NY, WA, CA)
Hybrid
USD 320,000 - 405,000
Full time
14 days+
Application generator
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Benefits offered by this job
Equity donation matching
Generous vacation
Flexible working hours
Lovely office space
Job summary
Anthropic, based in New York, is seeking a Senior Kubernetes Engineer. In this role, you will own, operate, and extend the Kubernetes scheduler for our accelerator fleets, ensuring that the control plane scales efficiently and reliably. Your deep Kubernetes expertise will be critical as you partner with research and operational teams to deliver robust platform capabilities. This position comes with competitive compensation, including a salary range from $320,000 to $405,000, and other benefits like equity donation matching and flexible working hours.
Qualifications
8+ years of relevant industry experience in large infrastructure projects.
Own and operate the Kubernetes scheduler for Anthropic's fleet.
Scale the Kubernetes control plane to exceed typical limits.
Design and operate core cluster services.
Skills
Building and operating production distributed systems
Complex debugging
Strong written and verbal communication
Proficiency in Go, Python, Rust, or C++
Deep Kubernetes experience
Education
Bachelor’s degree or equivalent experience
Tools
Kubernetes
GCP
AWS
Job description
Anthropic, based in New York, is seeking a Senior Kubernetes Engineer. In this role, you will own, operate, and extend the Kubernetes scheduler for our accelerator fleets, ensuring that the control plane scales efficiently and reliably. Your deep Kubernetes expertise will be critical as you partner with research and operational teams to deliver robust platform capabilities. This position comes with competitive compensation, including a salary range from $320,000 to $405,000, and other benefits like equity donation matching and flexible working hours.