Join NVIDIA's Cloud platform engineering team as a Senior Software Engineer focused on Cloud Automation. This role is integral to delivering NVIDIA GPU Cloud services, contributing to an infrastructure that handles over 250,000 automation runs weekly across thousands of projects.

You'll engage with multi-OS, multi-cloud platforms, and virtualization technologies. Our team thrives on continuous improvement, leveraging new DevOps and cloud technologies to enhance our automation infrastructure. Collaboration with application developers and QA is key to building robust automation for deployment, testing, monitoring, and CI/CD operations.

Utilize Configuration Management and Workflow management tools like Ansible and Stackstorm for multi-platform server cluster deployment in NVIDIA Data Centers worldwide.

Develop and build infrastructure, tools, and automation scripts to enhance support for image management, switch management, deployment, data analytics, automated testing, logging, monitoring, and alerts for micro-services.

Apply agentic AI for AI orchestration skills and large-scale Data Center operations management using tools like netbox, foreman, and Mellanox switches.

Employ cutting-edge infrastructure management technologies such as Kubernetes and Docker for rapid and consistent delivery.

A Bachelor of Science degree in Computer Science, Engineering, Math, or Physics, or equivalent experience, is required.

We are seeking candidates with over 3 years of proven experience in relevant areas.

Exceptional agentic AI experience with Codex and Claude code is highly valued.

Proficiency in scripting languages including Python, Bash, Groovy, and GOLANG is essential.

Outstanding debugging skills are a must.

Cloud experience with AWS Compute, Containers, and Networking services is preferred.

CI/CD experience with Jenkins and Jenkins pipelines is beneficial.

Experience with Configuration Management tools like Ansible is highly advantageous.

Familiarity with Packer, Terraform, and StackStorm is advantageous.

Experience with Kubernetes, Docker, and Helm is highly desirable.