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CoreWeave · Infrastructure · Lead / Manager · Posted 2026-08-14

Engineering Manager, Kubernetes Infrastructure (Bare Metal)

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA · $182k–242k base

This range's midpoint is above 44% of posted infrastructure ranges at AI companies right now. See the salary index.

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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 is looking for an Engineering Manager to lead a team building and operating Kubernetes infrastructure on bare metal. This team sits close to the core of our platform and is responsible for the reliability, scalability, and operational excellence of the systems that power high-performance AI and ML workloads. You will lead engineers working on cluster lifecycle, platform reliability, infrastructure automation, and the operational systems that make Kubernetes run predictably at scale on dedicated hardware.

This is a hands-on leadership role for someone who can grow engineers, improve execution, and partner deeply with platform, networking, compute, and product teams. The right person understands what it takes to run Kubernetes in demanding production environments and can turn that understanding into a high-functioning team, clear priorities, and durable engineering systems.

About the Role

As the Engineering Manager for Kubernetes Infrastructure, you will lead a team responsible for the core infrastructure and operational foundations behind Kubernetes running directly on bare metal. At CoreWeave, this platform is built for high-performance computing workloads and gives customers direct access to dedicated hardware, without virtualization overhead. That makes reliability, performance, observability, and safe lifecycle management especially important.

You will be responsible for team execution, technical direction in partnership with senior engineers, and building strong operating mechanisms around delivery, quality, and incident response. You will help the team scale its impact while mentoring engineers, supporting hiring, and strengthening cross-functional collaboration.

In this role, you will:

Lead a team of engineers responsible for Kubernetes infrastructure running on bare metal

Set clear goals, priorities, and execution plans for the team, and ensure reliable delivery against them

Partner with senior ICs and adjacent teams on the roadmap for cluster lifecycle management, upgrades, reliability, observability, and infrastructure automation

Improve the team's operational excellence across incident response, on-call health, root-cause analysis, and service ownership

Drive engineering best practices for safe change management, testing, rollout quality, and production readiness

Support the design and operation of platform capabilities for provisioning, patching, upgrades, scaling, and troubleshooting of Kubernetes clusters

Build strong cross-functional relationships with compute, networking, storage, security, and product stakeholders

Hire, coach, and develop engineers while creating a high-accountability, high-trust team culture

Establish and improve mechanisms for planning, prioritization, execution tracking, and continuous improvement

Help translate complex platform and infrastructure work into clear business and customer value

Who You Are

Experience managing an infrastructure, platform, or SRE-oriented engineering team

Strong technical depth in Kubernetes, distributed systems, and production infrastructure

Experience operating Kubernetes in complex environments, ideally including bare metal, hybrid, or highly performance-sensitive systems

Familiarity with cluster lifecycle management, including provisioning, upgrades, node operations, observability, and reliability engineering

Track record of improving team execution, engineering …

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See also: Engineering Manager jobs · AI jobs in San Francisco Bay Area · CoreWeave salaries · Python jobs · Kubernetes jobs.

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