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, coordination, automation, of some of 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 data density and interaction speed the frontend demands, including complex filtering, aggregation, and bulk operations across large datasets.
• The backend architecture from the ground up: service structure, data access patterns, caching strategy, and API contracts designed to scale with the team and product scope.
• Integrations with internal/external systems and data sources that feed infrastructure planning, ensuring the platform reflects real-world state and planned builds accurately.
• Deployment and operational infrastructure for the services you build, including Kubernetes manifests, CI/CD pipelines, observability, and reliability practices.

What We're Looking For

Core Technical Skills

• Strong proficienc