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CoreWeave

Rents GPU cloud computing for AI developers

Senior Production Engineer

Site Reliability EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 7 years of engineering experience building and operating distributed systems or cloud platforms.
  • Ability to debug complex production issues end to end across services, infrastructure layers, and automation.
  • Strong programming or scripting ability in Python, Go, or similar languages, with experience shipping and operating production services and tools.
  • Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.
  • Experience with modern observability stacks, including metrics, tracing, structured logs, service-level objectives (SLOs) and service-level indicators (SLIs), and incident lifecycle practices.
  • A track record of delivering hands-on reliability improvements through engineering execution.

Responsibilities

  • Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.
  • Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.
  • Build and maintain observability, alerting, automated remediation, and resilience testing for supported systems.
  • Participate in incident response as a subject-matter expert, drive root-cause investigations, and implement lasting fixes.
  • Improve runbooks, sources of truth, deployment workflows, and operational tooling to strengthen production readiness.
  • Eliminate single points of failure and reduce operational toil through automation, refactoring, and system redesigns.
  • Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.
  • Maintain and mature long-term team-owned projects and frameworks to keep them reliable, well-instrumented, and easy to operate.
  • Collaborate with platform teams to ensure new features and services integrate with reliability best practices and tooling.

Desired Qualifications

  • Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.
  • Familiarity with disaster recovery and business continuity planning (DR/BCP), service tiering, capacity planning, or chaos engineering.
  • Background operating or building large-scale AI or GPU-accelerated infrastructure.
  • Experience maintaining multi-year ownership of foundational production systems.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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