Operations Engineer, CoreWeave

• 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
• Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match

Desirable

• CoreWeave's MetalDev team is seeking an Operations Engineer to support the services and automation used during data center bring-ups and in production. Reporting to the Engineering Manager, this hands-on role is designed for an engineer who can handle routine production issues with growing independence while developing deeper expertise in service reliability, observability, and hardware lifecycle management
• You will support the Redfish-based services and tools used to initialize, reboot, monitor, and recover infrastructure at scale. You will independently triage routine alerts and support requests, contribute to incident response and root-cause analysis, improve dashboards and runbooks, and deliver small automation or reliability changes with guidance on complex or high-risk work
• You will work with NVIDIA GPU servers, BMCs, DPUs, Cooling Distribution Units, NVLink switches, power shelves, and custom hardware while collaborating with Fleet Operations, Hardware Engineering, Service Engineering, and hardware and firmware vendors. Approximately 80% of the role focuses on production operations, troubleshooting, and incident response. The remaining 20% focuses on improving monitoring, documentation, operational processes, remediation capabilities, and automation
• 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