Software Engineer III, Reliability Infrastructure, Workspace Platform
Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
info_outline 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 Learn more about benefits at Google .
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