Cloud Automation Engineer - Kubernetes & CI/CD

Nvidia Corporation in

Santa Clara (CA)

On-site

USD 184,000 - 357,000

Full time

12 days ago

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Job summary

NVIDIA Corporation is seeking an Automation Engineer for the DGX Cloud Engineering Team. You will design and implement scalable cloud-based systems for PaaS/IaaS, and help refine CI/CD and release processes for AI Factories software across on-prem and cloud environments.

In this role, you will collaborate across teams to deploy new features, maintain software functionality, and ensure high-quality automated release practices while leveraging Kubernetes, KubeVirt, Docker, and modern IaC tooling.

Qualifications

  • BS/MS in CS or equivalent with 8+ years in DevOps and deployment.
  • 2+ years of programming in Golang.
  • Experience with cloud virtualization and global infrastructure.
  • Kubernetes (K8s) and KubeVirt expertise.
  • Experience with RESTful web services.
  • Background with Docker and containers.
  • Infrastructure as Code experience.
  • Experience with AWS and CSPs.
  • CI/CD experience.
  • Strong communication skills.

Responsibilities

  • Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
  • Work closely with other teams on new products or features/improvements of existing products.
  • Develop, maintain and improve CI/CD tools for on-prem and cloud deployment of our software.
  • Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process.
  • Support, maintain, and document software functionality.

Skills

DevOps
Golang
Cloud design
Kubernetes
KubeVirt
RESTful services
Docker
Infrastructure as Code
CI/CD
Documentation

Education

BS in Computer Science
MS in Computer Science

Tools

Kubernetes
KubeVirt
OpenStack
Red Hat OpenShift
Firecracker

Job description

NVIDIA Corporation is seeking an Automation Engineer for the DGX Cloud Engineering Team. You will design and implement scalable cloud-based systems for PaaS/IaaS, and help refine CI/CD and release processes for AI Factories software across on-prem and cloud environments.

In this role, you will collaborate across teams to deploy new features, maintain software functionality, and ensure high-quality automated release practices while leveraging Kubernetes, KubeVirt, Docker, and modern IaC tooling.

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