Senior Production Engineer (Reliability)

CoreWeave•Sunnyvale, CA

3d•$182,000 - $242,000

About The Position

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 Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success. In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments. This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.

Requirements

7+ years of engineering experience building and operating distributed systems or cloud platforms.
Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.
Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.
Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.
Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.
A track record of successfully delivering hands-on reliability improvements through engineering execution.

Nice To Haves

Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.
Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.
Background operating or building large-scale AI or GPU-accelerated infrastructure.
Experience maintaining multi-year ownership of foundational production systems.

Responsibilities

Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.
Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.
Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.
Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.
Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.
Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.
Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.
Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.
Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.