Senior Kubernetes Platform Engineer (Global Network)

NVIDIA

Massachusetts

On-site

USD 176,000 - 333,500

Full time

14 days+

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Equity

Benefits

Job summary

NVIDIA is seeking a senior Kubernetes platform engineer for the Cloud Foundations Reliability team within the Global Network Infrastructure organization. You will own end‑to‑end lifecycle management of the GNI Kubernetes platform, including provisioning, upgrades, capacity planning, and recovery, while delivering production‑grade automation and GitOps‑driven workflows.

The role requires deep Kubernetes expertise, programming in Go or Python, and experience with large‑scale, multi‑region

Qualifications

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.

Responsibilities

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.