Production Engineer, Support tooling (Tooling and Frameworks)
CoreWeave - Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Posted Nov 19, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Production Engineer, Support tooling (Tooling and Frameworks) Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA 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 the role The Senior Production Engineering team sits at the heart of CoreWeave's reliability efforts. In this role, you'll partner closely with our Support/CX teams to build, operate, and evolve internal tooling that enables a “Direct‑to‑Expert” support model at scale. You'll define and ship AI‑assisted workflows, self‑service diagnostics, and platform integrations that reduce time‑to‑resolution and improve customer experience across our cloud. What you'll do - Design, build, and own support-facing tools for case triage, intelligent routing, and expert engagement, integrating with incident and change management workflows. - Develop AI‑powered assistants and automations that accelerate root‑cause discovery, knowledge retrieval, and resolution quality. - Create and maintain dashboards, alerts, and signals that surface tooling issues early; integrate observability into new tooling to reduce MTTR. - Build self-service and guided diagnostics that empower Support/CX to resolve common issues and collect high‑quality context for escalations. - Codify reliability and support practices into services, APIs, and Kubernetes-native controllers/operators where
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