Kubernetes Platform Lead — Production Reliability & Scale

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

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.