Operations Engineer, Fleet Reliability
CoreWeave is a specialized cloud provider focused on GPU accelerated use cases including VFX, AI/ML, Batch Processing and Real Time Experiences. We support countless AI/ML services in the text to image, NLP and broader AI/ML space, reducing client’s infrastructure management requirements with our Kubernetes based serverless GPU cloud offerings.
Job Description
About the role:
The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.
We are seeking curious, creative, and persistent problem solvers to join our Fleet Reliability Operations team. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. The individual will help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise.
Key Responsibilities:
- Configure and maintain large-scale, high-performance supercomputing clusters running state-of-the-art GPUs
- Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware, and platform teams to drive resolution
- Monitor and analyze system performance and take appropriate remediation actions for cloud health
- Approach your work with flexibility and optimism anticipating shifting business and technical priorities
- Create and maintain documentation of team processes, knowledge and best practices for system management
- Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
Successful candidates typically share the following skills and experience:
- 2 or more years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
- Strong understanding of Linux system administration and networking concepts
- Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
- Bachelor’s degree in a related field or equivalent experience
Ideal candidates may also have experience in one or more of these:
- Software development or scripting languages (bash, python, powershell, etc)
- Grafana, prometheus, promsql queries or similar observability platforms
- Data center environments including server racks, HVAC systems, fiber trays
- Kubernetes administration
- HPC - administering GPU-related workloads
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. If a portion of this resonates with you, we’d love to talk.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $80,000-$110,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
About the role:
The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.
We are seeking curious, creative, and persistent problem solvers to join our Fleet Reliability Operations team. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. The individual will help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise.
Key Responsibilities:
- Configure and maintain large-scale, high-performance supercomputing clusters running state-of-the-art GPUs
- Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware, and platform teams to drive resolution
- Monitor and analyze system performance and take appropriate remediation actions for cloud health
- Approach your work with flexibility and optimism anticipating shifting business and technical priorities
- Create and maintain documentation of team processes, knowledge and best practices for system management
- Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
Successful candidates typically share the following skills and experience:
- 2 or more years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
- Strong understanding of Linux system administration and networking concepts
- Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
- Bachelor’s degree in a related field or equivalent experience
Ideal candidates may also have experience in one or more of these:
- Software development or scripting languages (bash, python, powershell, etc)
- Grafana, prometheus, promsql queries or similar observability platforms
- Data center environments including server racks, HVAC systems, fiber trays
- Kubernetes administration
- HPC - administering GPU-related workloads
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. If a portion of this resonates with you, we’d love to talk.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $80,000-$110,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
