Staff Software Engineer, Site Reliability Engineering, Caching SRE

Staff Software Engineer, Site Reliability Engineering, Caching SRE

Location

Google, New York, NY, USA

Experience Level

Advanced

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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.
• 3 years of experience leading projects.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications

• Master's degree in Computer Science or Engineering.
• Experience mentoring engineers and cultivating a high-standards team culture.
• Experience applying deep AI proficiency to solve highly ambiguous infrastructure issues and drive significant business impact.
• Ability to shape technical strategy, influence critical engineering decisions, and drive consensus across cross-functional teams.

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, SREs 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 that 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.

In this role, you will architect resilient, automated production environments that meet stringent Service Level Objectives. You will lead the team through some of Google's most pressing issues, including: scaling our architecture across the portfolio to accommodate exponentially growing demands for infrastructure capacity, supporting the growing business and compliance needs across different product areas, and adapting our operational models to support highly accelerated product development cycles.

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 it. 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 : $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Engage in and improve the whole lifecycle of services-from inception and design through to deployment, operation, and refinement.
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Locations

Google, New York, NY, USA

Experience Level

Advanced

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.