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Google is seeking software engineers for the GCS Blob Efficiency team in Sunnyvale to optimize storage overhead and reduce costs across large-scale distributed systems. You will work on projects critical to Google Cloud Storage with opportunities to switch teams and tackle new challenges inside Google.
The role emphasizes experience with distributed systems, large-scale storage, and compute technologies, and offers a path to impact trillions of objects and exabytes of data across Google's
In most instances, this position requires in-person interviews as part of the hiring process.
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.
Google Cloud Storage (GCS) is the object store and lynchpin of Google’s Cloud platform. GCS works at planet-scale and supports both external customers and internal Google services like YouTube, Drive, Photos, and Gmail. We host trillions of objects, store exabytes of user data, and process millions of Queries per second (QPS).
This role is for the GCS Blob Efficiency team within Google Cloud Storage. Our goal is to improve storage overheads and lower costs. Most partners are Software Engineers within GCS based in Sunnyvale and Infra Storage teams in New York. You will have experience in large-scale distributed systems and be excited about massive-scale optimizations.
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 .
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .