1 day ago
Base Salary
$320k - $485k/yr
Responsibilities
- Build planning and allocation systems for cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs, and scheduler enforcement.
- Drive compute-efficiency programs involving rightsizing, unused-capacity recovery, utilization measurement, benchmarking, and per-configuration baselines.
- Own attribution and forecasting by reconciling provider billing, telemetry, and internal systems and connecting compute demand to workloads, teams, and research roadmaps.
- Build data pipelines ingesting occupancy, utilization, and cost data into BigQuery with ownership of completeness, latency SLOs, and gap detection.
- Operate Kubernetes-native collection, labeling, taint, reservation, and scheduling systems at scale.
- Gather requirements, define schema contracts, design data products for technical and finance consumers, and support on-call and SLO obligations.
Requirements
- 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 experience operating at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
- Experience with Prometheus, PromQL, and Grafana, including recording rules and dependable monitoring systems.
- Ability to independently gather requirements and work across organizational boundaries in ambiguous environments with limited direction.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field as demonstrated through coursework, training, or professional experience.
- Preferred experience with capacity planning, resource management, cost attribution, scheduling and packing efficiency, distributed workload optimization, multi-cloud billing ingestion, forecasting, accelerator infrastructure, machine learning training or inference systems, internal data products, and exabyte-scale storage lifecycle programs.
Benefits
- Annual base salary range of $320,000–$485,000 USD.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space.
- Hybrid work policy requiring staff to be in an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Anthropic sponsors visas but cannot successfully sponsor every role and candidate; if an offer is made, it will make every reasonable effort to obtain a visa with immigration-lawyer support.
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.