coreweave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
Skills: Docker
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 . What You’ll Do: CoreWeave’s Fleet Provisioning Automation (FPA) team is responsible for the automated provisioning and lifecycle management of CoreWeave’s rapidly growing fleet of hardware nodes and node types. The team streamlines and coordinates node bring-up and configuration, node delivery, health monitoring, and failure-response automation into a cohesive, high-reliability engine of fleet management. This group sits at the intersection of hardware, data center operations, and platform engineering, building the software that keeps our global fleet healthy and ready for customer workloads. About the Role: We are seeking an Engineering Manager for the Fleet Provisioning Automation team who can manage and grow our team of developers. This individual will facilitate development by supporting the team in process, communication, and accountability across the team’s domain, and champion reliability and results. In this role, you will: Lead and grow a team of talented and dedicated Go developers in the US and EU. Provide prioritization, direction, and support to software engineers developing Kubernetes operators and custom resource definitions (CRDs) to automate node provisioning and lifecycle management of CoreWeave’s entire server fleet. Collaborate closely with fleet operations, hardware engineering, and Kubernetes infrastructure teams to design solutions to problems of scale for managed Kubernetes and bare metal deployments and the operation of…
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