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Staff Software Engineer (MetalDev)

CoreWeave · Sunnyvale, United States

Imported listingfull-timeabout 1 month ago

About The Role

Join our Compute Architecture organization as a Staff Software Engineer. You will be responsible for building and operating Go-based services that manage the lifecycle of large-scale GPU data center infrastructure. Your work will directly improve the reliability, safety, and scalability of real-world infrastructure. You will also provide technical leadership, make pragmatic architecture decisions, and partner with various teams to design systems that work safely at fleet scale.

  • Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure.
  • Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations.
  • Provide technical leadership through design reviews, code reviews, architectural guidance, and mentorship.
  • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement
  • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience
  • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments
  • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms
  • Excellent communicator able to work effectively with both technical and non-technical stakeholders
  • Track record of leading incident response, postmortems, and driving robust service reliability
  • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams
  • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers
  • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services
  • Experience contributing to and collaborating with open source communities
  • Working knowledge of Kafka, ClickHouse and CRDB
  • DMTF, RedFish APIs, and GPU servers

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