Senior Systems Software Engineer, Kubernetes Node Lifecycle

What you'll do

• Build and refine CAPI providers to ensure scalable node provisioning across DGX Cloud and NCP environments.
• Develop and maintain bring-your-own-node workflows for integrating diverse NVIDIA hardware into NKE clusters.
• Coordinate OS image generation, packaging, deployment, and updates specifically fine-tuned for NVIDIA GPU workloads.
• Develop and sustain node image hardening pipelines incorporating CIS benchmarks and automated CVE remediation.
• Create and maintain automated test suites to verify node images across various Kubernetes versions and hardware configurations.
• Manage the nodepool lifecycle at scale, including provisioning, upgrades, and drain/cordon workflows for large clusters.
• Troubleshoot and resolve production node-layer faults involving image configuration, driver packaging, and kubelet operations.
• Partner with upstream communities like Cluster API and Kubernetes to establish node provisioning and lifecycle standards.

What we're looking for

• 8 years of experience in systems software, cloud infrastructure, or Kubernetes node engineering.
• Bachelor’s or Master’s degree in Engineering (Electrical, Computer, or Computer Science) or equivalent experience.
• Deep expertise in Cluster API (CAPI), including provider development and full machine lifecycle management.
• Extensive experience with OS image build pipelines, node image packaging, and delivery systems for Kubernetes nodes.
• Practical experience with bring-your-own-node models and large-scale nodepool lifecycle management and upgrades.
• Strong understanding of kubelet configuration, node bootstrap, and the Kubernetes node registration lifecycle.
• Experience with node image security, including vulnerability scanning, patch automation, and compliance gating.
• Proficiency in Golang and/or Python, and hands-on experience with at least one major public cloud provider (preferred).