Nvidia Principal Site Reliability Engineer - Enterprise AI Platform 

United States, California 

306170782

What you will be doing:

• Collaborate on translating business objectives into actionable plans

• Address operational challenges, automate processes, and iterate for efficiency

• Tackle systemic reliability issues with multi-functional teams.

• Monitor, optimize, and manage system performance and resources.

• Institute validated practices for reliability, remediations, and troubleshooting.

• Design, deploy, and automate production support, documenting essential knowledge.

• Navigate intricate tasks with a deep understanding of SRE principles.

• Lead cross-organizational projects from inception to completion.

• Mentor and train junior engineers for professional development.

• Serve as a subject matter expert in core team functions.

What we need to see:

• 15+ years of working experience in cloud, platform or SRE roles

• A Bachelors or Masters Degree in an Engineering or Computer Science or related field or equivalent experience

• Proficient in one or more programming languages: Python, Go, Perl, or Ruby.

• Hands-on experience handling and scaling distributed systems in a public, private, or hybrid cloud, on-prem environment 24x7x365

• Has delivered software with full understanding of deploying applications in Kubernetes clusters along with GPU and CPU pod scheduling (Ability to understand on Prem)

• Has maintained and managed Micro-services relating to AI platforms (Inference, Training, Evaluation, Ingestion)

• Hands-on experience in deploying, supporting, and supervising new and existing services, platforms, and application stacks.

• Experience with CI/CD systems such as Jenkins, GitHub Actions, etc.

• Background with Infrastructure as Code (IaC) methodologies and relevant tools.

• Extensive experience working with MS Windows Server and/or Linux operating systems.

• Solid communication skills, demonstrating the ability to comprehend and articulate technical issues to a non-technical audience.

Ways to stand out from the crowd:

• Cloud expertise in Azure and AWS.

• Passionate and experienced in AI methodologies.

• Strong background in software design and development.

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive