Senior Kubernetes Platform Engineer - Global Network Infra

NVIDIA

California (MO)

Hybrid

USD 176,000 - 333,500

Full time

14 days+
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Job summary

NVIDIA's CFR team is seeking a hands-on senior engineer to own the lifecycle and automation of the Kubernetes platform supporting GNI network systems, across US and Bangalore teams. The role involves production ownership, GitOps delivery, and cross-functional collaboration with Network Automation and service teams.

You will design, implement, and operate scalable Kubernetes environments, drive on-call incident response, and raise production standards for reliability, observability, and capacity

Qualifications

  • Bachelor's degree or equivalent experience in CS/engineering.
  • 8+ years building/operating production Kubernetes platforms or distributed systems.
  • Deep experience with Kubernetes at scale (cluster lifecycle, upgrades, networking, storage).
  • Proficiency in Go or Python.

Responsibilities

  • Design, build, and operate the Kubernetes platform powering GNI network automation and observability.
  • Own lifecycle management for GNI Kubernetes environments (onboarding, upgrades, capacity, recovery).
  • Develop production-quality software for cluster provisioning, validation, upgrades, and GitOps delivery.
  • Provide production support for network services hosted on the platform with cross-team collaboration.
  • Diagnose complex failures and drive resolution from signal to verification.
  • Define production-readiness and observability standards for the platform and services.
  • Participate in CFR on-call rotation and incident response.

Skills

Kubernetes
Go
Python
GitOps
CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Cluster API (CAPI)
Metal3
Kubernetes controllers

Job description

NVIDIA's CFR team is seeking a hands-on senior engineer to own the lifecycle and automation of the Kubernetes platform supporting GNI network systems, across US and Bangalore teams. The role involves production ownership, GitOps delivery, and cross-functional collaboration with Network Automation and service teams.

You will design, implement, and operate scalable Kubernetes environments, drive on-call incident response, and raise production standards for reliability, observability, and capacity

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