Staff+ Software Engineer (Capacity Engineering)

About this role

• Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds
• The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated
• We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute
• As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on
• You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend
• You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams
• The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment
• This is a pipeline role feeding four areas
• Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
• Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it’s product work as much as engineering: defining schema contracts, making data discovera...