Senior Staff Software Engineer, Site Reliability Engineering, Workspace AI

Google; Town of Montana (WI); Presencial; USD 262.000 - 364.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus target

Equity

Benefits

Descripción de la vacante

Google seeks a Senior Staff Software Engineer in Site Reliability Engineering for Workspace AI in Sunnyvale, CA. You will own the architecture of AI inference/training infrastructure, ensuring reliability, scalability, and cost efficiency while collaborating with senior leads.

You will drive AI-first development, advocate AI adoption, oversee on-call responses, and coordinate with SRE leaders to deliver scalable solutions across Google products.

Formación

• Bachelor's degree in CS or related field, or equivalent practical experience.
• 8+ years of software development experience.
• 4+ years of technical leadership.
• 3+ years designing, analyzing, and troubleshooting distributed systems.
• Experience with ML/AI in a software development environment.

Responsabilidades

• Own the architecture and design of AI inference/training infrastructure from the SRE side, ensuring reliability, scalability, cost-effectiveness, and performance.
• Drive AI-first development and act as the AI advocate across teams to introduce new approaches.
• Lead on-call responses to production incidents and drive blameless postmortems with preventive actions.
• Collaborate with SRE leaders across product teams to deploy scalable solutions across Google.

Conocimientos

Software development

Distributed systems

Technical leadership

AI/ML in software environments

Educación

Bachelor's degree in Computer Science or related field

Master's degree in CS or Engineering (preferred)

Descripción del empleo

Senior Staff Software Engineer, Site Reliability Engineering, Workspace AI

Location: Sunnyvale, CA, USA

Experience Level: Advanced

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 the 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 Salary Range

$262,000 - $364,000 (USD) + 25% bonus target + equity + benefits

Responsibilities

• Own the architecture and design of the inference and training AI infrastructure from the 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 introduces 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.

Additional Information

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Experience

Owning outcomes and decision-making, solving ambiguous problems, and influencing stakeholders; deep expertise in the domain.