Staff Site Reliability Engineer, Cloud Reliability Intelligence

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, AngularJS, Artificial Intelligence (AI), Automation, Cloud Computing, Complexity Algorithms, Computer Science, Construction, Data Lake, Data Modeling, Data Science, Data Sets, Data Structures, Distributed Computing, Ecosystems, Engineering Management, English Language, Equal Employment Opportunity (EEO), Fonts, GCP (Good Clinical Practices), Genetics, Identify Issues, Java, Large-Scale Systems, Leadership, Marketing, Mentoring, Network Operations Center, Operations Management, Problem Solving Skills, Product Development, Product Management, Project Design, Project Tracking, Project/Program Management, Prototyping, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Analysis, Reliability Engineering, Risk, Risk Management, Software Development, Software Engineering, Stock Purchase Plans, Systems Administration/Management, Systems Engineering, Systems Reliability, Technical Leadership, Technical Support, Thought Leadership, Unstructured Data, User Interface/Experience (UI/UX), YouTube
LOCATION
Sunnyvale, CA
POSTED
4 days ago

Staff Site Reliability Engineer, Cloud Reliability Intelligence - Google Careers

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Staff Site Reliability Engineer, Cloud Reliability Intelligence

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

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Minimum qualifications:

  • Bachelor"s degree in Computer Science or a related technical field or equivalent practical experience.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
  • 3 years of experience in a technical leadership role; overseeing projects.
  • Experience overseeing full-stack architectures, ensuring cohesion between backend data automation layers and engineering frontend.

Preferred qualifications:

  • Experience in applying LLMs or Generative AI to automate workflows.
  • Familiarity with large-scale reliability analysis, or policy conformance frameworks.

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.

The Reliability Outcome Enablement team develops the products, core infrastructure, and datasets that drive and sustain Google Cloud platform"s (GCP"s) reliability promises. We build the evergreen intelligence platform the core system that automates resilience across the GCP ecosystem. Every product team at Google (from BigQuery to Spanner) relies on our infrastructure and integrated data lake to keep their services bulletproof.

We are currently expanding our platform to integrate Generative AI and LLM-driven workflows, moving from reactive tracking to a predictive system that catches failures and automates risk mitigation.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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Own the technical roadmap and long-term architecture for the Evergreen platform, including a unified data model for promise delivery across GCP.
  • Design and scale high-performance backend pipelines (Go, Java) and data-rich user interfaces (TypeScript, Angular) used by over 10,000+ Google engineers.
  • Prototype and productionize LLM-based features to parse unstructured incident data, automatically file risk tickets, and suggest reliability fixes.
  • Partner closely with Product Management, Data Science, and leadership to align multiple organizations on a unified approach to policy measurement and enforcement.

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.

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.

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.

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