Software Engineer

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.   We're proud to be a Living Wage accredited Employer.

What You'll Do

The HAVOCK (Hardware, Acceleration, Virtualization, Operating Systems, Containerization, and Kernel) Services team owns the host software stack that turns freshly provisioned bare-metal machines into healthy CoreWeave Kubernetes worker nodes. We create the interfaces, services, libraries, and validation systems that allow HAVOCK and partner teams to safely release, test, and ship node software across global cloud environments.

About the role

As a Software Engineer on the OS Automation Platform team, you will design, build, and maintain the backend services, APIs, and libraries used to deploy node software across CoreWeave-owned and Omni environments. In this role, you will develop constraint-solver services like havock-api, build Kubernetes-native end-to-end testing frameworks, and maintain runtime configuration and storage libraries. You will also serve as the regional engineering owner for image releases, boot/provisioning failures, and configuration compatibility during EMEA and APAC hours, operating the systems you build, participating in an on-call rotation, and turning operational insights into automated platform solutions.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of professional software engineering experience building and operating backend services, platforms, or developer and infrastructure tooling.
• Proficiency in Go and/or Python with the ability to work effectively across both.
• Practical experience designing and maintaining APIs or service contracts (e.g., REST, gRPC, Protobuf, Connect-RPC).
• Ability to model complex relationships and constraints using graphs, relational models, or constraint solving approaches.
• Solid understanding of the Linux boot, provisioning, and configuration lifecycle, including OS images, systemd, and cloud-init.
• Hands-on debugging skills across Linux kernels, drivers, storage, networking, and Kubernetes node initialisation in production environments.