Senior DevOps Engineer
NVIDIA is hiring a Senior DevOps Engineer. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Docker, Kubernetes and GitLab Ci.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Own and evolve CI/CD infrastructure, automation pipelines, and developer tooling for engineering teams.
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams. This position plays a key role in enabling fast, reliable, and scalable software delivery — from code commit to test execution and reporting. You will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.
What You'll Be Doing:
Design, implement, and maintain CI/CD pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows
Own and evolve the DevOps infrastructure — including build systems, artifact management, deployment automation, and environment provisioning
Develop and maintain automation tools, scripts, and integrations that streamline developer workflows and reduce manual overhead
Collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization
Monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability
Manage containerization and orchestration solutions (Docker, Kubernetes) for test environments and internal services
Support the integration of automated testing frameworks into CI/CD flows, ensuring test coverage and results are tracked and visible
Evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency
What We Need to See:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
8+ years of hands-on experience in DevOps, platform engineering, or software infrastructure roles
Strong proficiency in CI/CD tools with hands-on experience in GitLab CI/CD pipelines; familiarity with Jenkins, GitHub Actions, or equivalent is a plus
Experience with containerization and orchestration — Docker, Kubernetes
Solid scripting and automation skills — Python, Bash, and/or similar
Familiarity with infrastructure-as-code tools (Terraform, Ansible, or similar)
Deep familiarity with Linux environments and system administration
Experience with version control systems (Git) and branching strategies
Strong debugging, problem-solving, and root-cause analysis skills
Ways to Stand Out from the Crowd:
Experience building and scaling DevOps infrastructure for hardware validation or embedded systems environments
Background working with test execution frameworks and integrating them into CI/CD pipelines
Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, or similar)
Knowledge of cloud platforms (AWS, GCP, Azure) or on-premise HPC environments
Experience integrating AI/ML workflows and AI agent pipelines into CI/CD flows, including model versioning, automated testing, and deployment automation for AI-driven systems
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse 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.
How we rate this
Senior DevOps Engineer at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, CI/CD, DevOps, Automation, and Infrastructure As Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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