Senior Platform Engineer, Network Infrastructure

Cloud Foundations Reliability (CFR) is part of NVIDIA’s Global Network Infrastructure (GNI) organization. We deploy, integrate, and operate 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 team owns the architecture and lifecycle of this platform, including cluster provisioning and upgrades, GitOps delivery, observability, capacity, and service enablement. We build software and automation to standardize how network platforms and services are deployed, scaled, and managed across environments. We are looking for a hands-on senior engineer to own the lifecycle and automation of the Kubernetes platform supporting GNI network systems. You will also provide production support for network services running on the platform, partnering with their engineering owners when issues or changes cross the platform boundary. You will take complex problems from design through production and remain accountable for the outcome. You will bring deep Kubernetes expertise and help establish consistent engineering practices across the US and Bangalore teams. This is a senior individual contributor role with end-to-end ownership and production responsibility. What You’ll Be Doing: Design, build, and operate the Kubernetes platform that powers GNI network automation, telemetry, and operations across data center, colocation, and cloud environments. Own the 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, then drive corrective actions to completion. What We Need to See: 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.