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Staff+ Software Engineer, Capacity Engineering

Anthropic· Software Engineering - Infrastructure
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$320k - $485kFull-timePosted 3mo ago

About the role

Engineer on the Capacity Engineering team building production systems to plan, measure, and maximize utilization of Anthropic's AI compute fleet. Focus areas include data pipelines, observability tooling, and performance instrumentation across multi-cloud, Kubernetes environments, with high autonomy in a high-ambiguity setting.

Responsibilities

  • Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces.
  • Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval.
  • Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
  • Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection.
  • Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
  • Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs.

Qualifications

  • A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
  • Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views.
  • Deep experience with at least one major cloud provider (AWS, GCP, or Azure) and its operations
  • Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
  • Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.

Skills

Required:Production-grade PythonSQL (BigQuery)Cloud providers (AWS, GCP, or Azure)Observability toolingKubernetes

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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