Senior DevOps Engineer, Networking CI/CD & Linux Automation

NVIDIA Corporation; Santa Clara (CA); On-site; USD 176,000 - 276,000; Full time

Job summary

NVIDIA Corporation is hiring a senior DevOps engineer to own and automate CI/CD pipelines for a portfolio of networking software. You will run pipelines across GitLab CI, Jenkins, and GitHub Actions, and manage build fleets on Kubernetes with secure artifact stores.

You will automate hardware- and simulation-based test environments with Ansible and Python, collaborate with developers and lab teams, and apply AI-assisted tooling to improve efficiency.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
• 5+ years in DevOps, build and release, or infrastructure engineering roles, with end-to-end pipeline ownership.
• Strong Linux skills on Ubuntu and RHEL; shell fluency, debugging, package management, large host fleets, containers.

Responsibilities

• Design, build, and maintain CI/CD pipelines for a portfolio of networking software across GitLab CI, Jenkins, and GitHub Actions.
• Keep pipeline signal trustworthy, stabilize flaky lanes, and turn nightly results into product action.
• Operate and evolve the build infrastructure — Kubernetes-based CI runners, registries, artifact repos, caching, retention, access control.
• Integrate quality and security gates into every pipeline: coverage, static analysis, tests, scanning, vulnerability management.
• Automate provisioning of hardware- and simulation-based test environments with Ansible and Python.
• Collaborate with C++/Python developers and lab teams to unblock builds and enforce repository standards.

Skills

Linux

Python

Bash

CI/CD

GitLab CI

Jenkins

GitHub Actions

Kubernetes

Docker

Networking basics

Education

Bachelor's degree

Tools

Ansible

Job description

NVIDIA Corporation is hiring a senior DevOps engineer to own and automate CI/CD pipelines for a portfolio of networking software. You will run pipelines across GitLab CI, Jenkins, and GitHub Actions, and manage build fleets on Kubernetes with secure artifact stores.

You will automate hardware- and simulation-based test environments with Ansible and Python, collaborate with developers and lab teams, and apply AI-assisted tooling to improve efficiency.