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CoreWeave

Rents GPU cloud computing for AI developers

Operations Engineer - Metaldev

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Two or more years of experience in technical support, systems administration, cloud operations, site reliability engineering, infrastructure operations, or a related technical field, or equivalent practical experience.
  • Working knowledge of Linux system administration, including logs, processes, services, filesystems, networking fundamentals, and command-line troubleshooting.
  • Working knowledge of Kubernetes, containers, and at least one public cloud platform or comparable distributed infrastructure environment.
  • Experience using monitoring and observability tools such as Prometheus and Grafana; familiarity with PromQL or a similar query language.
  • Scripting experience in Bash, or another shell scripting language.
  • Experience troubleshooting issues across software services, operating systems, networks, or physical infrastructure.
  • A methodical approach to problem solving, strong documentation skills, and clear written and verbal communication.
  • Experience participating in an on-call rotation or supporting time-sensitive production issues.

Responsibilities

  • Monitor team-owned services and fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures.
  • Independently troubleshoot routine initialization, reboot, provisioning, and service-health issues, escalating complex or high-risk problems appropriately.
  • Investigate problems across applications, Linux systems, networks, BMCs, servers, DPUs, power equipment, and cooling infrastructure using logs, metrics, and diagnostic data.
  • Perform and validate approved remediation, ensuring services and devices return to a healthy state.
  • Participate in incident response, maintain clear operational communications, and contribute to root-cause analysis and follow-up actions.
  • Participate in the team's on-call rotation after completing onboarding and a readiness review.
  • Use Prometheus, Grafana, PromQL, logs, and service telemetry to investigate service and infrastructure problems.
  • Maintain and improve dashboards, alerts, and operational KPIs for team-owned services.
  • Identify noisy alerts, monitoring gaps, and recurring failure patterns, and recommend practical improvements.
  • Develop small scripts, tools, or automation that reduce manual effort and make remediation safer and more consistent.
  • Validate software, firmware, or process changes in test environments and support controlled production rollouts.
  • Create and maintain run-books, troubleshooting guides, escalation procedures, and service-support documentation.
  • Capture incident findings and operational knowledge so the team can respond consistently and prevent recurrence.
  • Partner with Fleet Operations and engineering teams to reproduce issues, determine ownership, and track problems to resolution.
  • Support hardware and firmware vendor cases by collecting diagnostic evidence, tracking status, and validating vendor-provided fixes.
  • Communicate clearly, seek feedback, share knowledge, and escalate early when impact or risk is uncertain.

Desired Qualifications

  • Experience supporting Kubernetes applications or distributed production services.
  • Experience with incident response, escalation, root-cause analysis, or post-incident reviews.
  • Familiarity with servers, BMCs, Redfish, IPMI, server provisioning, or hardware lifecycle management.
  • Exposure to GPU infrastructure, DPUs, high-performance computing, power systems, cooling systems, or data center operations.
  • Experience improving dashboards, alerts, PromQL queries, run-books, or operational automation.
  • Experience collaborating with hardware or firmware vendors to investigate and validate fixes.
  • A bachelor's degree in computer science, engineering, information technology, or a related discipline, or equivalent practical experience.

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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