Minimum qualifications:- 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).
Preferred qualifications:- 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, NoSQL paradigms (Cassandra, HBase, DynamoDB), or data processing frameworks (Spark, Beam).
About the jobCloud 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.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
