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The Senior Engineering Manager will lead data engineering efforts, managing teams to build scalable data solutions for CoreWeave's enterprise data lake.

The Director of Engineering for Security Products will lead teams building essential security capabilities, including identity and encryption platforms, to ensure customer trust and compliance. Responsibilities include defining the roadmap, overseeing service performance, and collaborating with teams to enhance operational excellence.

The Data Center Energy Analyst will manage, analyze, and forecast energy usage and cost data across data centers, ensuring data integrity and reporting for operational decisions.

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 design and implementation of encryption and key lifecycle management products for AI workloads on CoreWeave's cloud platform, collaborating with cross-functional teams to enhance security and manage technology development.

Develop and maintain firmware for embedded systems, collaborate with teams, troubleshoot issues, optimize performance, and mentor junior engineers.

Design and implement scalable, fault-tolerant Kubernetes control-plane components. Develop Helm charts, custom controllers and CRDs, build deployment automation, monitoring, dashboards, and participate in on-call operations to ensure platform reliability and operability.

Lead and manage complex customer deployments of Weights & Biases across cloud and on-prem environments. Partner with customer engineering to provision, monitor, debug, and optimize infrastructure for performance and scalability. Provide technical demos, workshops, enablement content, and collaborate with Sales Engineering, Support, and Product to drive adoption and inform roadmap.

Lead the strategy and implementation of Observability solutions, ensuring alignment with business goals, and enhancing customer monitoring and reliability.

Lead the architecture and operations of network services, optimizing performance and scalability for AI workloads while ensuring security and compliance.