Software Engineer III, Reliability Infrastructure, Workspace Platform

Google LLC; Raleigh, Durham (NC, NC); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC is seeking a Software Engineer III for Reliability Infrastructure within the Workspace Platform. The role focuses on building automated recovery validation and fault-injection pipelines to improve Workspace resilience, with a path across multiple projects and teams, and opportunities to impact billions of users.

The position targets candidates with a BS or equivalent, 2+ years in software development (Java/C++), and distributed systems experience.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Java and C++).
• 2 years of experience building and managing distributed software systems and infrastructure.
• 2 years of experience testing, launching software products, and building developer tools that improve developer velocity, code quality and code health.

Responsibilities

• Write product or system development code.
• Build internal software products to validate, measure and report Time to Recovery end-to-end for various data restore scenarios.
• Lead and manage large-scale data seeding pipelines to support disaster recovery testing and performance validation across Workspace applications.
• Ensure high standards of engineering excellence with comprehensive test coverage, documentation, monitoring, and debuggability.
• Provide automated solutions to ensure Workspace apps remain resilient to dependency failures by classifying hard vs soft dependencies and translating requirements into robust software solutions.

Skills

Java

C++

Distributed systems

Testing & automation

Education

Bachelor's degree

Master's or PhD (preferred)

Job description

Software Engineer III, Reliability Infrastructure, Workspace Platform

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In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Java and C++).

2 years of experience building and managing distributed software systems and infrastructure.

• 2 years of experience testing, launching software products, and building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms in either an academic or industry setting.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of Chaos engineering, using fault injection frameworks to simulate failure scenarios.
• 2 years of experience with synthetic data generation, managing pipelines for processing or transferring large datasets.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our mission is to ensure Workspace resilience by providing zero-touch, automated infrastructure for continuous data recovery validation and proactive dependency risk assessment.

We proactively identify and mitigate risks by building infrastructure for automated data recovery testing, fault‑injection pipelines, and dependency detection systems that give engineers actionable insights into product stability.

Simulating users across various operational scales, our infrastructure is expected to model the various customer landscape of Workspace. Our team maintains ongoing, close collaboration with first‑party application teams and SREs to cultivate unified platform capabilities across the entire Workspace suite.

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre‑computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Write product or system development code.
• Build internal software products to validate, measure and report Time to Recovery (TTR) end-to-end for various data restore scenarios on an ongoing basis.
• Lead and manage large‑scale data seeding pipelines to support realistic disaster recovery testing and performance validation across Workspace applications.
• Ensure all work upholds high standards of engineering excellence, including comprehensive test coverage, clear documentation, effective monitoring, and strong debuggability.
• Provide automated solutions to ensure Workspace apps remain resilient to dependency failures by accurately classifying hard vs soft dependencies and understand and translate stakeholder requirements into robust software solutions.

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.

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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.