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Lead and expand the SRE/Production Engineering team to ensure platform reliability, performance, and operational efficiency. Drive SRE strategy, automation-first practices (IaC, Terraform, Kubernetes), incident management, postmortems, SLO/SLA frameworks, on-call strategy, and system hardening. Collaborate with engineering, product, hardware, and security teams to build scalable, resilient, self-healing AI-focused cloud infrastructure.

The Director of Expansion PMO will manage CoreWeave's data center expansion, ensuring deal oversight, program management, and cross-functional coordination for international initiatives.

Lead cross-functional programs to validate and optimize AI/ML infrastructure performance. Drive benchmarking, observability, hardware bring-up, release readiness, and measurable metrics across GPU-based clusters. Coordinate engineering, infrastructure, product, capacity, and go-to-market teams to operationalize benchmarking frameworks, prioritize performance work, and ensure platforms meet stability and performance standards for training and inference workloads.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

Lead the evolution of CoreWeave AI Object Storage's security, manage cross-functional teams, and develop secure cloud-scale storage systems.

Support capacity planning and infrastructure investment decisions through forecasting, financial and operational modeling, variance analysis, KPI tracking, and cross-functional partnership. Translate operational inputs into CapEx, depreciation, cost of revenue, cash flow, and margin impacts. Prepare reporting and commentary for finance leadership and improve model controls and planning processes.

Lead and grow a MetalDev RAS team responsible for the reliability, availability, and serviceability of CoreWeave's bare-metal infrastructure. Set technical direction, KPIs/SLOs, observability (Prometheus/Grafana), automation and CI/CD for server lifecycle, run incident management and RCA practices, and collaborate cross-functionally and with vendors to drive operational excellence and reduce on-call toil.

Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.

Build and maintain fault-tolerant bare-metal Kubernetes control planes and automated tooling using Python, Golang, and Bash. Perform day-2 maintenance, debugging, upgrades, reliability improvements with Grafana, design automated tests, and participate in on-call rotation.

Lead design and implementation of multi-regional data platform and stream-processing architecture. Drive event-driven adoption, mentor engineers, ensure scalability, reliability, security, compliance, and participate in on-call operations.