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