Senior Platform Engineer, Network Infrastructure - DGX Cloud

Details

Cloud Foundations Reliability (CFR) is part of NVIDIA’s Global Network Infrastructure (GNI) organization. The team deploys, integrates, and operates the Kubernetes-based platform and shared services used to provision, monitor, and operate NVIDIA’s global network across data centers, colocation facilities, and cloud environments. The CFR team owns the architecture and lifecycle of this platform, including cluster provisioning and upgrades, GitOps delivery, observability, capacity, and service enablement. This is a senior individual contributor role with end-to-end ownership and production responsibility, partnering with engineering owners to support network services running on the platform.

Responsibilities

• Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments.
• Own lifecycle management for GNI Kubernetes environments, including cluster onboarding, upgrades, capacity, availability, and recovery.
• Develop production-quality software and automation for cluster provisioning, validation, upgrades, remediation, and safe multi-cluster delivery through GitOps.
• Provide production support for network services hosted on the platform, working with Network Automation and service teams that retain ownership of application architecture, code, and features.
• Diagnose complex Kubernetes platform and hosted-service failures involving control-plane health, cluster networking, storage, scheduling, workload placement, and multi-cluster dependencies. Drive issues from initial signal through verified resolution.
• Define production-readiness and observability standards for the platform and hosted network services, including health signals, capacity, alerts, runbooks, and recovery.
• Participate in CFR’s production on-call rotation, including scheduled after-hours and weekend coverage. Lead incident response and recovery and drive corrective actions to completion.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years of experience building or operating production Kubernetes platforms, network infrastructure, or distributed systems.
• Deep experience with Kubernetes at scale, including cluster lifecycle, upgrades, networking, storage, and recovery.
• Proficiency in at least one general-purpose programming language, such as Go or Python.
• Experience with GitOps, infrastructure as code, CI/CD, and automated production delivery.
• Experience deploying and supporting network automation or telemetry services on Kubernetes.
• Experience with production on-call, incident response, root-cause analysis, and driving corrective actions to completion.

Ways to Stand Out

• Strong knowledge of IP routing, data center fabrics, and cloud networking.
• Experience designing and operating large, multi-region Kubernetes fleets, including fleet-wide upgrades and recovery.
• Hands-on experience with Cluster API (CAPI) and Metal3 for bare-metal provisioning, cluster lifecycle, machine remediation, and upgrades.
• Experience building Kubernetes controllers or operators in Go using custom resources and reconciliation patterns.
• Contributions to Cluster API, Metal3, or other open-source Kubernetes infrastructure projects.

Compensation & Additional Information

• Base salary ranges (location and level dependent):
  • Level 4: 176,000 USD - 276,000 USD
  • Level 5: 208,000 USD - 333,500 USD
• Eligible for equity and benefits.
• Applications accepted at least until July 20, 2026.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.