Principal Engineer Capacity/Compute
Core
Build planning and allocation systems for cross-region and cross-provider capacity placement, queueing, guardrails, and occupancy KPIs.
Role type
Principal Engineer, hands-on IC
Builds
Production systems for capacity planning, cost attribution, and data pipelines
Domain
Cloud infrastructure, distributed systems, cost optimization
Required skills
Python, SQL, BigQuery, Kubernetes, Prometheus, Grafana, cloud provider expertise (AWS/GCP/Azure)
Preferred skills
capacity planning, resource management, cost attribution, scheduling, packing efficiency, multi-cloud ingestion, forecasting, accelerator infrastructure, machine learning systems, exabyte-scale storage lifecycle
Technologies
BigQuery, Kubernetes, Prometheus, PromQL, Grafana, AWS, Google Cloud, Microsoft Azure
Responsibilities
Build planning and allocation systems for cross-region and cross-provider capacity placement; 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
Seniority
Principal, hands-on IC
