Senior Platform Engineer, Network Infrastructure - DGX Cloud

NVIDIA; Washington (Washington County); On-site; USD 176,000 - 333,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA CFR is seeking a hands-on senior Kubernetes engineer to own the lifecycle and automation of the Kubernetes platform that supports GNI network systems. You will provide production support for platform-hosted services and partner with global teams on complex problems from design to production.

You will ensure cluster onboarding, upgrades, capacity planning, and recovery, while driving consistent engineering practices across US and Bangalore teams.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.
• 8+ years 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 Go or Python.

Responsibilities

• Design, build, and operate the Kubernetes platform powering 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 multi-cluster delivery through GitOps.
• Provide production support for network services hosted on the platform, collaborating with Network Automation and service teams.
• Diagnose complex Kubernetes platform and hosted-service failures and drive resolution from signal to verification.
• Define production-readiness and observability standards, including health signals, capacity, alerts, runbooks, and recovery.
• Participate in CFR’s production on-call rotation and lead incident response and corrective actions.

Skills

Kubernetes

Go

Python

GitOps

CI/CD

Automation

Production support

Education

Bachelor's degree in Computer Science or related field

Tools

Cluster API

Metal³

Git

Job description

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 176,000 USD – 276,000 USD for Level 4, and 208,000 USD – 333,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 2026.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.