Senior DevOps Engineer, Platform Engineering

About the role

NVIDIA invites applications for a Senior DevOps Platform Engineer skilled in Platform and Release Engineering to join the Metropolis team. The role involves developing, building, and maintaining foundational infrastructure and CI/CD systems that run AI/Machine Learning video analytics workloads at scale using NVIDIA Data Center GPUs.

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.

Requirements

• BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience, with over 6+ years of relevant industry background.
• Advanced skills in Python for scripting, tooling, and automation.
• Deep expertise with Kubernetes, Helm, and container orchestration in production environments.
• Verified 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).

Qualifications

• Experience with GPU infrastructure and AI/ML platform engineering at scale.
• Background in BareMetal and hybrid cloud (AWS, GCP, Azure) environment management.
• Familiarity with NVIDIA Metropolis, DeepStream, or similar AI video analytics platforms.
• Experience with GitOps workflows, Infrastructure as Code (Terraform, Ansible).
• Track record of driving DevOps culture transformation and developer experience improvements.

Skills

• Python for scripting, tooling, and automation.
• Kubernetes, Helm, and container orchestration in production environments.
• CI/CD pipelines at scale (Jenkins, GitHub/GitLab Actions and Runners).
• Linux systems administration, networking, and distributed systems.
• Observability stacks (Prometheus, Grafana, ELK).
• Release engineering practices including semantic versioning, release gating, and change management.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 176,000 USD - 276,000 USD.
• You will also be eligible for equity and benefits.

Pay

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 176,000 USD - 276,000 USD.

Schedule

• Full-time