Senior DevOps Engineer, AI/ML Platform & CI/CD

NVIDIA

Santa Clara (CA)

On-site

USD 176,000 - 276,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

NVIDIA invites applications for a Senior DevOps Platform Engineer to join the Metropolis team. You will develop, build, and maintain foundational infrastructure and CI/CD systems that run AI/ML video analytics workloads at scale using NVIDIA Data Center GPUs.

The role focuses on release workflows, automation, and developer tools to improve efficiency on the Metropolis platform. You will ensure platform reliability, implement scalable observability, and support GPU-accelerated workloads across

Qualifications

  • BS or MS in CS/CE or equivalent, with 6+ years of relevant experience.
  • Advanced Python scripting and automation skills.
  • Deep Kubernetes, Helm, and container orchestration production experience.
  • Experience building and maintaining CI/CD pipelines at scale.
  • Solid Linux administration, networking, and distributed systems knowledge.
  • Hands-on observability with Prometheus, Grafana, ELK or similar.

Responsibilities

  • Compose, build, and maintain scalable CI/CD pipelines with Jenkins and GitHub/GitLab Actions.
  • Develop and manage Kubernetes-based platform infrastructure for AI workloads.
  • Implement scaling and performance measurement within Kubernetes.
  • Define release engineering processes and gating criteria.
  • Build DevOps tooling and automation for the Metropolis platform.
  • Own observability and monitoring infrastructure.

Skills

Python
Kubernetes
CI/CD pipelines
Linux
Release engineering
Observability

Education

BS or MS in Computer Science/Computer Engineering or related field

Tools

Jenkins
GitHub/GitLab Actions
Runners
Prometheus
Grafana
ELK

Job description

NVIDIA invites applications for a Senior DevOps Platform Engineer to join the Metropolis team. You will develop, build, and maintain foundational infrastructure and CI/CD systems that run AI/ML video analytics workloads at scale using NVIDIA Data Center GPUs.

The role focuses on release workflows, automation, and developer tools to improve efficiency on the Metropolis platform. You will ensure platform reliability, implement scalable observability, and support GPU-accelerated workloads across

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