"network planning" Jobs
26 open tech roles matching “network planning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Kubernetes, Python, Grafana. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 26 results
Join CoreWeave as a Network Planner to manage and expand our core network connectivity for AI infrastructure.
Lead the end-to-end delivery of data center network infrastructure at CoreWeave, focusing on scalable network deployment processes.
Join CoreWeave as a Demand Planner to align customer needs with cloud infrastructure capacity in a high-growth technology environment.
Join CoreWeave as a Staff Software Engineer to design and develop automation platforms for one of the largest GPU clouds in the world.
Lead the design and deployment of Wireless Intrusion Detection Systems across CoreWeave's global security network.
Lead operations across multiple data center sites in the U.S. East, ensuring performance, reliability, and operational excellence.
Join CoreWeave as a Senior White Space Design Engineer to lead the design of scalable infrastructure for cutting-edge data centers.
Lead the design of white space infrastructure across CoreWeave’s data center portfolio, ensuring scalability and operational success.
Lead cross-functional programs to enhance CoreWeave's cloud infrastructure for AI, ensuring scalable and reliable performance.
Join CoreWeave as a Principal Operational Readiness Engineer to lead complex data center projects ensuring operational readiness and compliance.
Join CoreWeave as a Principal Solution Specialist for Infrastructure, driving complex AI infrastructure deals globally.
Join CoreWeave as a Senior Supply Chain Analytics Engineer to transform data into actionable insights for supply chain leaders.
Lead community engagement and partnerships at CoreWeave, enhancing social license and stakeholder relationships in a dynamic environment.
Join CoreWeave as a Senior IT Systems Engineer to build and operate cloud infrastructure across GCP, Azure, and AWS.
Lead a team building and operating Kubernetes infrastructure on bare metal for high-performance AI and ML workloads.