Staff Software Engineer, Site Reliability Engineering, Data Indexing

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer for SRE Data Indexing in San Jose, CA. You will lead the indexing pipelines supporting Search, YouTube, Shopping, and Lens, focusing on reliability and scalability. Strong leadership in distributed systems and go-to-market collaboration are essential.

Advanced engineers with hands-on coding in Go or C++, and 3+ years leading projects, will thrive in this role within a fault-tolerant, highly scalable Google Cloud environment.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 8+ years of software development experience.
• 3+ years leading projects.
• 3+ years designing, analyzing, and troubleshooting distributed systems.
• 2+ years distributed processing.

Responsibilities

• Develop the next generation of Indexing Engine platform, Web Data Service and indexing for embeddings/ML-based retrieval.
• Support data journeys built on the aforementioned systems for critical Google products, like Search, YouTube, Shopping, and Lens.
• Lead key projects to ensure and improve reliability of the pipeline we supported across the Data Indexing domain.
• Collaborate and manage stakeholders and development counterparts focusing on reliability, efficiency, and scalability.
• Perform effective production response, thorough follow-ups, and comprehensive communications with users and clients.

Skills

Software development

Distributed systems

Leadership

Distributed processing

Education

Bachelor's degree in Computer Science or related field

Tools

Go

C++

Job description

Staff Software Engineer, Site Reliability Engineering, Data Indexing

Location: San Jose, 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.
• 3 years of experience leading projects.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.
• 2 years of experience with distributed processing.

Preferred qualifications

• Master's degree in Computer Science or Engineering, or a related field.
• Experience in troubleshooting and debugging of distributed systems.
• Experience with scaffolding-based backend development.
• Experience with large-scale databases.
• Proficiency with programming in Golang or C++.

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 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.

Our team focuses on building, managing, and evolving the indexing pipelines that enable search in many of Google's user-facing products, including Web Search, News, YouTube, Shopping, and Lens. New areas of growth include indexing for embeddings/ML-based retrieval to enable novel search use cases and indexing data sets for model training/grounding.

This is a critical role to the team with strong technical leadership in system reliability, maintainability, and operational excellence.

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: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Develop the next generation of Indexing Engine platform, Web Data Service (for rapid prototyping and product-ionization of new slice-of-web verticals) and indexing for embeddings/ML-based retrieval.
• Support data journeys built on the aforementioned systems for critical Google products, like Search, YouTube, Shopping, and Lens.
• Lead key projects to ensure and improve reliability of the pipeline we supported across the Data Indexing domain.
• Collaborate and manage stakeholders and development counterparts focusing on reliability, efficiency, and scalability.
• Perform effective production response, thorough follow-ups, and comprehensive communications with users and clients.

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: San Jose, CA, USA

Experience Level: Advanced

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