Senior Platform Engineer, Network Infrastructure

Overview

• 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.
• 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 From the Crowd: Strong knowledge of IP routing, data center fabrics, and cloud networking is a great plus.
• 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.
• Experience designing or operating network automation and telemetry services on Kubernetes at global scale.
• Contributions to Cluster API, Metal3, or other open-source Kubernetes infrastructure projects.
• ​ NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.
• We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hard-working people in the world working for us.
• Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.