Software Engineer III, Infrastructure, Spanner OA and Disaggregation
Google · New York, NY, USA ·
- Category
- Software engineering
- Experience
- 2+ years
- Company size
- 1000+
- Salary
- USD 147,000 – 210,000 / year
Google · New York, NY, USA ·
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Cloudflare · Hybrid
Engineer on Google's Spanner database team, building C++ service-based data access methods that let reads and queries scale separately from the transactional engine. Day-to-day involves designing distributed storage/query features, optimizing a massive-scale stateful system, and leveraging AI/LLM tooling while collaborating with teams like Search, Ads, and YouTube.
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.
Spanner is Google’s primary transactional data store, supporting SQL queries and scaling to a billion operations per second globally. The Spanner OA and Disaggregation team is responsible for scaling Spanner to manage demanding new read loads, supporting growth into Hybrid Transaction/Analytical Processing (HTAP) and safe agentic access to transactional data.
In this role, you will help build service-based data access methods that are isolated from the core transactional engine. By enabling reads and queries to scale separately, your work will reduce storage and processing costs and unlock new consistent-access use cases for major product areas across Google and Google Cloud.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
YouTube · Cambridge, MA, USA; San Bruno, CA, USA