Senior DevOps Platform Engineer — AI/ML Infra & CI/CD

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA invites applications for a Senior DevOps Platform Engineer to join the Metropolis team. You will design and manage CI/CD pipelines, Kubernetes-based infrastructure, and release processes for AI/ML workloads on NVIDIA Data Center GPUs.

You will lead tooling, automation, and observability efforts, ensuring scalable, reliable platform operations. Strong scripting in Python and deep Kubernetes expertise are essential for success.

Qualifications

• BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience, with 6+ years of industry background.
• Advanced skills in Python for scripting, tooling, and automation.
• Deep expertise with Kubernetes, Helm, and container orchestration in production environments.
• Proven background in building and maintaining CI/CD pipelines at scale (Jenkins, GitHub/GitLab Actions and Runners, or similar).
• Solid understanding of Linux systems administration, networking, and distributed systems.
• Experience with release engineering practices including semantic versioning, release gating, and change management.
• Hands-on experience with observability stacks (Prometheus, Grafana, ELK, or similar).

Responsibilities

• Compose, build, and maintain scalable CI/CD pipelines using Jenkins, GitHub/GitLab Actions and Runners for Metropolis software products.
• Develop and manage Kubernetes-based platform infrastructure supporting AI/ML workloads on NVIDIA Data Center GPUs.
• Build and implement scaling and performance measurement frameworks within Kubernetes to ensure platform reliability and efficiency under AI/ML workload demands.
• Define and implement release engineering processes, branching strategies, versioning standards, and gating criteria.
• Drive developer efficiency by building and maintaining DevOps MCP servers, tooling, and automation frameworks.
• Own observability and monitoring infrastructure using Prometheus, Grafana, and log aggregation pipelines.
• Troubleshoot hardware and operating system issues across BareMetal and GPU-accelerated servers to minimize downtime and maintain platform stability.

Skills

Python

Kubernetes

CI/CD pipelines

Linux

Networking

Observability

Release engineering

Education

BS or MS in Computer Science or related field

Tools

Jenkins

GitHub Actions

GitLab Actions

Runners

Helm

Terraform

Ansible

Prometheus

Grafana

ELK stack

Job description

NVIDIA invites applications for a Senior DevOps Platform Engineer to join the Metropolis team. You will design and manage CI/CD pipelines, Kubernetes-based infrastructure, and release processes for AI/ML workloads on NVIDIA Data Center GPUs.

You will lead tooling, automation, and observability efforts, ensuring scalable, reliable platform operations. Strong scripting in Python and deep Kubernetes expertise are essential for success.