Software Engineer III, Cloud Bigtable SQL and Analytics

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.

Cloud Bigtable is Google’s fully managed, petabyte-scale NoSQL 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.

Responsibilities

• 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.