Senior Site Reliability Engineer ML Platforms

About the Role

This role is for a Senior Site Reliability Engineer ML Platforms at NVIDIA. You will design, build, and maintain large-scale production systems supporting advanced data science and machine learning applications.

What You’ll Be Doing

• Develop software solutions to ensure system reliability and operability.
• Gain deep insights into system operations including scalability, interactions, and failure modes.
• Create tools and automation to reduce manual operational tasks.
• Establish frameworks, processes, and methodologies to enhance operational maturity.
• Define and track reliability metrics for continuous improvement.
• Manage capacity and performance across cloud environments globally.
• Build improved observability tools for faster issue resolution.
• Practice sustainable incident response and conduct blameless postmortems.

What We Need To See

A minimum of 6+ years experience in SRE, Cloud platforms, or DevOps with large-scale microservices, a strong background in incident and change management, and proficiency in automation and coding with languages like Python and Go.

Ways To Stand Out

• Experience with large-scale distributed systems and strong SLAs.
• Excellent coding skills in Python and Go.
• Expertise in CI/CD systems and Infrastructure as Code.
• Strong interpersonal skills for effective data-driven communications.

Key Skills/Competency

• SRE
• Cloud Platforms
• DevOps
• Distributed Systems
• Observability
• Automation
• Python
• Go
• Incident Management
• CI/CD