We are seeking curious, creative, and persistent problem solvers to join our Fleet Reliability Operations team to help 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 include:

• Configuring and maintaining large-scale high-performance supercomputing clusters running state-of-the-art GPUs
• Troubleshooting hardware and software issues; escalating and coordinating as needed with data center, network, hardware, and platform teams to drive resolution
• Monitoring and analyzing system performance and taking appropriate remediation actions for cloud health
• Approaching work with flexibility and optimism, anticipating shifting business and technical priorities
• Creating and maintaining documentation of team processes, knowledge, and best practices for system management
• Thinking critically about day-to-day work and working collaboratively to improve team processes and efficiency

As a member of our team, you will be part of a dynamic and fast-paced environment where you will have the opportunity to grow and develop your skills. We offer a competitive salary range of $83,000 to $110,000, as well as a comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO.

If you are a motivated and detail-oriented individual who is passionate about working with cutting-edge technology, we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

• Build, operate, and scale Kubernetes-based production infrastructure that delivers our products with high reliability and performance.
• Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.
• Design, implement, and maintain monitoring, alerting, and observability solutions,leveraging the Grafana ecosystem and related tools,to proactively identify and resolve production issues.
• Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.
• Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.
• Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.
• Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Requirements:

• 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
• Knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.
• Proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.
• Experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
• Deep understanding of Linux systems and infrastructure-focused programming, especially in Go and Bash.
• Strong analytical skills and ability to troubleshoot complex production issues.
• Excellent communication skills and ability to share knowledge with technical and non-technical stakeholders.

What Success Looks Like:

• Deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets.
• Champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response.
• Actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles.
• Help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale.

Why CoreWeave?

• We work hard, have fun, and move fast!
• We're in an exciting stage of hyper-growth that you won't want to miss out on.
• We're not afraid of a little chaos, and we're constantly learning.
• Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $120,000 to $176,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer:

• The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
• In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace:

• While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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What you'll do

• Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
• Manage and optimize Slurm-based HPC environments for distributed training of large language models

What you need

• Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
• Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization

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