1 day ago
Base Salary
$320k - $485k/yr
Responsibilities
- Build planning and allocation systems for cross-region and cross-provider capacity placement, queueing, guardrails, and occupancy KPIs.
- Drive efficiency programs covering stranding, rightsizing, unused-capacity recovery, job-level utilization, benchmarking, and per-configuration baselines.
- Own compute cost attribution and forecasting by reconciling provider billing, telemetry, internal systems, demand signals, and research roadmaps.
- Build data pipelines that ingest occupancy, utilization, and cost data into BigQuery while owning completeness, latency SLOs, and gap detection.
- Operate Kubernetes-native collection, labeling, reservation, taint, and scheduling systems at scale.
- Gather requirements, define schema contracts, design consumer-facing data products, and support on-call and SLOs.
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 experience with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
- Experience with Prometheus, PromQL, Grafana, recording rules, and production monitoring.
- Ability to gather requirements and work across organizational boundaries in ambiguous environments with limited direction.
- Preferred: experience with capacity planning, resource management, cost attribution, scheduling, packing efficiency, or large-scale distributed workload optimization.
- Preferred: multi-cloud ingestion and billing normalization, total-cost-of-ownership analysis, forecasting, accelerator infrastructure, machine learning systems, internal data products, or exabyte-scale storage lifecycle programs.
Benefits
- Annual salary range of $320,000—$485,000 USD.
- Visa sponsorship is offered with reasonable efforts made after an offer, though sponsorship cannot be successfully provided for every role or candidate.
- Hybrid policy requiring staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
- 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.