Site Reliability Engineer, ML Infrastructure, Large Models SRE

Minimum qualifications:

• 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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.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.

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.