Site Reliability Engineer, ML Infrastructure, Large Models SRE

Requirements:

• Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
• 2 years of experience leading projects and providing technical leadership.

Nice to haves:

• Experience in Large Language Models/Machine Learning tooling and infrastructure.
• Experience in automation, monitoring, and incident response.
• Experience in C++, Java, Python, or Go.
• Understanding of Site Reliability Engineering (SRE) principles and best practices.
• Excellent communication, project and stakeholder management skills.

What you'll be doing:

• Design, build, and maintain scalable and reliable Large Model infrastructure.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Participate in an oncall incident response, be a part of the oncall rotation and practice blameless postmortems.
• Practice sustainable incident response and blameless postmortems.
• Implement best practices in SRE, including automation, monitoring, and incident response.

Perks and benefits:

• Google is proud to be an equal opportunity and affirmative action employer.
• Opportunity to work on challenging projects with unique scale at Google.
• Collaborative and intellectually stimulating work environment.