Senior Software Engineer, Data Center Infrastructure Tooling

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About This Role CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today. We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations, and other infra teams the ability to plan, visualize, and manage massive amounts of infrastructure across hundreds of sites. As a senior backend engineer on this team, you'll help design, build, and own the data layer, APIs, and services that power these tools. The goal is to build bespoke software to model our infrastructure at both a physical and logical level to drive planning, coord [... source excerpt omitted ...] the most advanced AI datacenters. The team will also include frontend engineers that you will need to work closely to bring rich user experiences built on top of your backends.. You'll also own how these services are deployed and run in production including scaling, redundancy and monitoring . What You'll Build Data models and APIs that capture the complexity of datacenter infrastructure: devices, connectivity, cabling, power, cooling, and spatial relationships across racks, rows, and floors. The schema needs to be expressive enough to model reality and performant enough to query at scale. High-throughput API services in Go (gRPC, GraphQL, and/or REST) that support the dat [... source excerpt omitted ...] ata grows to millions of rows. Experience designing and building APIs (gRPC, GraphQL, and REST) with attention to type safety, pagination, caching, filtering, and error handling. You'll be shaping API contracts directly with the frontend engineer, so you need to understand what makes an API pleasant and performant to consume. Proven experience of performance optimization on the backend: query optimization, connection pooling, caching layers, profiling under load, and understanding where bottlenecks actually live rather than where you assume they are. Familiarity with authentication, authorization, and backend security best practices for internal tooling. Experience owning d