Senior Software Engineer, Server Fleet Infrastructure

At CoreWeave, we don't box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you'll have the biggest impact.

Tell us what interests you most, and throughout the hiring process, we'll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you'll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing.

At CoreWeave, infrastructure isn't just a foundation, it's a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We're looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute.

Within this domain, you'll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you're automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure.

You'll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world.

• Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave's global server hardware fleet.
• Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems.
• Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration.
• Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior.
• Design and implement observability solutions for large-scale server monitoring to improve system stability and insight.
• Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health.
• Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations.
• Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms.
• Participate in an on-call rotation.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we've found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you're excited to work on next.

Minimum Qualifications

• 5+ years of experience in software or infrastructure engineering.
• Proficiency in Go and/or Python software development.
• Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions.
• Strong understanding of Linux internals.

Preferred Qualifications

• Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions.
• Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt.
• Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design.
• Experience implementing metrics pipelines, custom alerts, and monitoring strategies.
• Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them.
• Willingness and ability to thrive in a fast-paced startup environment.

Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you'll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint.

Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not 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 pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.