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Google is hiring a Software Engineer III for Infrastructure focused on Google Cloud Storage Efficiency in Sunnyvale, CA. You will work on the GCS Blob Efficiency team, tackling storage overhead and cost optimizations within a planet-scale object store that supports YouTube, Drive, Photos, and more.
The role emphasizes designing efficient distributed systems, collaborating across teams, and contributing to scalable storage solutions while growing technical leadership and mentoring junior
Location: Sunnyvale, CA, USA
Experience Level: Mid
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.
US: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits
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Experience Level: Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.