Site Reliability Engineer, ML Infrastructure, Large Models SRE

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• 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.

Preferred qualifications:

• 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.

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

This role is part of the ML Infrastructure Site Reliability Engineering (SRE) group, on the Large Models (LM) SRE team. In this role, you will work to identify and execute on high priority opportunities in the production use of Large Models within Alphabets product space.

You will collaborate with product teams to improve the efficiency and usability of the LM infrastructure, ensuring usability, optimal performance, and cost-effectiveness.

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

This role is part of the ML Infrastructure Site Reliability Engineering (SRE) group, on the Large Models (LM) SRE team. In this role, you will work to identify and execute on high priority opportunities in the production use of Large Models within Alphabets product space.

You will collaborate with product teams to improve the efficiency and usability of the LM infrastructure, ensuring usability, optimal performance, and cost-effectiveness.

Responsibilities

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.