24 hours ago
Base Salary
$320k - $485k/yr
Responsibilities
- Build planning and allocation systems for cross-region and cross-provider placement, guardrails, queueing, and occupancy KPIs.
- Drive compute efficiency programs covering stranding, rightsizing, unused capacity recovery, benchmarking, and workload utilization across training, inference, and evaluation systems.
- Own compute cost attribution and forecasting by reconciling provider billing, telemetry, internal systems, demand signals, and research roadmaps.
- Build and operate data pipelines ingesting occupancy, utilization, and cost data into BigQuery with ownership of completeness, latency SLOs, and gap detection.
- Operate Kubernetes-native collection, labeling, reservation, taint, and scheduling systems at scale.
- Gather requirements, define schema contracts, design self-service data products, and support load-bearing systems with on-call and SLO ownership.
Requirements
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
- Strong track record building and operating production systems in a hands-on engineering role with a DevOps flavor.
- Production-quality Python and SQL experience, including BigQuery SQL, table-valued functions, and views.
- Deep operations experience with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
- Experience with Prometheus, PromQL, and Grafana, including recording rules and monitoring relied upon by engineering teams.
- Ability to gather requirements, work across organizational boundaries, and operate effectively in ambiguous environments with limited direction.
- Preferred experience with capacity planning, resource management, cost attribution, scheduling and packing efficiency, or large-scale machine learning infrastructure.
- Preferred multi-cloud data ingestion experience involving billing exports, reservation APIs, capacity reservations, commitments, and vendor telemetry.
- Preferred experience with total cost of ownership, forecasting, accelerator infrastructure, internal data products, or exabyte-scale storage efficiency.
Benefits
- Annual compensation range is $320,000–$485,000 USD.
- Anthropic sponsors visas and will make every reasonable effort to obtain a visa if an offer is made, although sponsorship is not successful for every role or candidate.
- Staff are currently expected to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Benefits include competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Tech Stack
Categories
Data EngineeringDevOps
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.