Operations Engineer, Fleet Reliability

CoreWeave•Plano, TX

1d•$83,000 - $110,000

About The Position

The Operations Engineer will join CoreWeave’s Fleet Reliability Operations team, which handles day-to-day provisioning, management, and uptime for the company’s growing fleet of server nodes. The team configures, updates, and remotely troubleshoots high-tier supercomputing clusters, networking, delivery platforms, and related tools. The role helps move batches of server nodes through provisioning and validation while troubleshooting node and cluster problems and supporting rapid deployment of nodes. The engineer will configure and maintain large-scale, high-performance supercomputing clusters running GPUs; monitor system performance and take remediation actions to support cloud health; and troubleshoot hardware and software issues in coordination with data center, network, hardware, and platform teams. The role also contributes to documentation and process improvement, adapts to changing business and technical priorities, and participates in on-call rotations that include after-hours and weekend work. The position requires access to export-controlled information. Applicants must meet one of the stated U.S. export-control eligibility conditions. Compensation is a base salary of $83,000–$110,000, with the starting salary determined by job-related knowledge, skills, experience, and market location. The total rewards package may include a discretionary bonus, equity awards, and benefits, subject to eligibility.

Requirements

Strong understanding of Linux system administration and internals.
Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably.
Experience with software development or scripting languages such as Bash, Python, or PowerShell.
Meet one of the stated export-control eligibility conditions for access to export-controlled information.

Nice To Haves

Two or more years of experience troubleshooting or administering data center or on-premises infrastructure, including servers, storage, networks, or a combination.
Experience with Grafana, Prometheus, PromQL queries, or similar observability platforms.
Experience with data center environments, including server racks, HVAC systems, and fiber trays.
Kubernetes administration experience.
Experience administering GPU-related HPC workloads.
Bachelor’s degree in a related field or equivalent experience.

Responsibilities

Configure and maintain large-scale, high-performance supercomputing clusters running state-of-the-art GPUs.
Troubleshoot hardware and software issues and coordinate or escalate with data center, network, hardware, and platform teams to resolve them.
Monitor and analyze system performance and take appropriate remediation actions to support cloud health.
Adapt to shifting business and technical priorities with flexibility and optimism.
Create and maintain documentation of team processes, knowledge, and system-management best practices.
Evaluate day-to-day work and collaborate to improve team processes and efficiency.
Participate in on-call rotations, including after-hours and weekend work.
Help drive batches of server nodes through provisioning and validation processes and troubleshoot node or cluster problems.