320K–485K USD / year
Principal Engineer, Capacity/Compute
DevOpsHybrid — New York City, NY
Published on 2026-10-19
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About this role
Build and operate systems that track, plan, allocate, and improve utilization of Anthropic’s large-scale compute fleet. The role spans data pipelines, Kubernetes operations, observability, efficiency measurement, cost attribution, and forecasting.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Capacity Engineering
Stack
PythonSQLBigQueryKubernetesPrometheusPromQLGrafanaDCGM
What you'll do
- Build capacity planning and allocation tools, including placement, queueing, and occupancy monitoring.
- Develop programs to improve compute utilization and recover unused capacity.
- Reconcile provider billing with telemetry and attribute costs to workloads and teams.
- Build data pipelines for occupancy, utilization, and cost data, with ownership of completeness and latency.
- Operate Kubernetes-native collection, labeling, reservation, and scheduling systems.
- Define data contracts and build reliable, discoverable products for internal consumers.
What we're looking for
- Track record building and operating production systems.
- Production-quality Python and SQL skills.
- Deep operational experience with AWS, Google Cloud, or Azure.
- Experience with Prometheus, PromQL, and Grafana, including recording rules and monitoring.
- Able to define requirements and collaborate across teams in ambiguous environments.
Nice to have
- Experience with capacity planning, resource management, or cost attribution at scale.
- Scheduling and packing efficiency or profiling of distributed workloads.
- Multi-cloud billing and telemetry ingestion experience.
- Total cost of ownership analysis and infrastructure forecasting.
- GPU, TPU, Trainium, or machine-learning systems familiarity.
- Experience building self-service internal data products.
- Exabyte-scale storage efficiency, retention, or lifecycle experience.
Benefits
- Flexible working hours
- Generous vacation and parental leave
- Optional equity donation matching