Software Engineer III, Cloud Bigtable SQL and Analytics

Software Engineer III, Cloud Bigtable SQL and Analytics

Google place New York, NY, USA

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• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems, or experience with compute technologies or storage.
• Experience in systems languages (C++ or Java).
• Experience with distributed systems concepts (concurrency, consistency models, sharding).

• Master's degree or PhD in Computer Science or related technical fields.
• Experience designing public-facing APIs or libraries (CLI, REST, gRPC) with a focus on backward compatibility and usability.
• Experience in how databases work under the hood (Query Processing, Query Optimization, Storage Engines).
• Familiarity with SQL parsers, No
  
  SQL paradigms (Cassandra, HBase, DynamoDB), or data processing frameworks (Spark, Beam).

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.

Cloud Bigtable is Google’s fully managed, petabyte-scale No

SQL database, serving as the low-latency foundation for the world’s most demanding applications. We are currently undergoing a major strategic expansion: transforming Bigtable into the Agentic Data Cloud Feature Store. We are looking for a Software Engineer to help build the next generation of our Feature Store. In this role, you will be at the intersection of database internals and ML infrastructure and be responsible for designing and implementing core "SQL for ML" capabilities—such as continuous materialized views, real-time counters, and vector search (ANN)—enabling customers to move from traditional ML to modern agentic application development.

You will be building high-performance, scalable, and reliable distributed systems and includes participation in a production on call rotation to ensure service health.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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…