Senior Staff Software Engineer, Site Reliability Engineering, Workspace AI

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, a related field, or equivalent

practical experience.

• 8 years of experience with software development in one or more programming

languages.

• 4 years of experience leading projects, and providing technical leadership.
• 3 years of experience in designing, analyzing, and troubleshooting

distributed systems.

• Experience with machine learning/AI in a software development environment.

PREFERRED QUALIFICATIONS:

• Master's degree in Computer Science or Engineering.

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 Cloud's services—both our internally critical and our

externally-visible systems—have reliability, uptime appropriate to customer's

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 Cloud, 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.

As a part of the Workspace AI SRE team, your mission is to safely and

responsibly enable rapid iteration of high-quality AI (e.g. Gemini) services and

features using common infrastructure within Workspace. You will partner with

development teams to ensure new AI-powered features for products like Gmail,

Docs, Meet, and more are reliable, scalable, and efficient. As Workspace AI

products move fast to stay competitive, SRE plays a critical role in building

the necessary automation and safety guardrails.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Own the architecture and design of the inference and training AI

infrastructure from SRE side, ensuring it is reliable, scalable, cost

effective and performant, while working closely with senior technical leads

in the development teams.

• Drive AI-first development to help the team leapfrog in its current efforts,

serving as the AI advocate who introduce new and novel ways of working.

• Lead the on-call response to production incidents, driving blameless

postmortems and ensuring preventative measures are implemented.

• Engage broadly with SRE leaders across other product teams to ensure the best

scalable solutions for all of Google, acting as the conduit to bring

solutions in and take them across Google.