Job Opportunities API

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: CoreWeave’s Production Engineering team builds, scales, and maintains the underlying infrastructure of the CoreWeave Cloud Platform. We operate at massive scale, partnering closely with downstream platform, hardware, and security teams to build secure, scalable, and highly efficient environments for demanding AI/ML and GPU-accelerated workloads. Our goal is to champion operational excellence, platform resilience, and automation-first infrastructure. About the role:   As the Senior Manager of Production Engineering, you will lead, expand, and mentor a high-performing, geographically distributed SRE team operating in a 24x7 environment. You will own and execute the overarching SRE vision, strategy, and roadmap for our large-scale distributed cloud infrastructure, shifting the platform toward a proactive, self-healing architecture. This critical leadership role requires you to evolve our global on-call strategy, establish robust SLO/SLA frameworks, and champion structural improvements across incident management and postmortem organizational learning. Who You Are: 5+ years of leadership or senior management experience at a cloud provider, hyperscaler, or high-growth technology company. Proven experience hiring, developing, and managing geographically distributed, 24x7 engineering teams. Extensive experience designing and implementing end-to-end incident management processes, including on-call rotations, escalation paths, blameless postmortems, and SLO/SLA frameworks. Solid technical foundation in systems engineering, with a deep understanding of distributed systems, complex networking, and storage architecture. Strong cross-functional collaboration and influencing skills, with the ability to align product, platform, hardware, and security teams on reliability goals. A champion for automation-first practices, leveraging tools like Terraform, Kubernetes, and Infrastructure-as-Code to systematically eliminate manual toil. A thoughtful leader who blends technical depth with strategic vision, preferring clarity over complexity, mentorship over management, and resilience over rigidity. Bachelor’s degree in Computer Science, Engineering, or a related technical field. Preferred: Experience building internal platform tooling and developer portals to enhance engineering velocity and operational visibility. Familiarity with bare metal infrastructure environments (e.g., custom data centres, edge compute, or HPC clusters). Experience working in AI infrastructure environments supporting large-scale training or inference pipelines. Familiarity with GPU-accelerated workloads, including hardware resource isolation, scheduling, and performance tuning. Background in compliance, reliability risk modelling, or operational maturity assessments (e.g., RTO/RPO limits, chaos engineering). Working knowledge of DPUs, service mesh architectures, and multi-tenant security models. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to build clarity out of operational complexity and mentor