Senior Staff Software Engineer, Infrastructure Spanner Team
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with design and architecture; and testing or launching software products.
- Experience building and developing large-scale infrastructure or distributed systems.
- Experienced in innovating the development process using AI.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Deep understanding of database engine internals, query execution/query optimization, or distributed data storage.
About the job
Spanner is a globally-replicated, scalable SQL-aware database that provides strong consistency guarantees and high availability. It is a key asset of Google’s external and internal product portfolio of database services. See go/spanner-roadmap for the latest Spanner roadmap.
Spanner Serving manages the essential components and servers where data are hosted, manipulated, served, and distributed. This is the core of Spanner and a critical part for correctness, availability and scalability of Spanner databases across the globe.
We are also using AI to transform both Spanner and the way we build it. We apply coding agents and Large Language Model (LLM)-based tools to speed up migrations, refactoring, testing, and verification across a large, mature, correctness-critical code base, and we are building AI-first workflows that measurably increase our productivity while keeping Spanner's high bar for correctness and availability.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Set the technical direction for Spanner's next-gen Batch I/O interface, including Database branching and bulk processing, and own the architectural bridge between Serving and other Spanner subsystems.
- Lead the modernization of Spanner Serving using AI-assisted development (e.g., coding agents, LLM-driven code migration and refactoring) to reduce technical debt and operational toil without compromising correctness or availability.
- Design, build, and deploy AI-powered tools, agents, and automated workflows that speed up the team's development lifecycle, including code review, testing, verification, debugging, and incident response.
- Define AI-first engineering practices for the team: find the use cases with the biggest payoff and reviewing the work of AI agents, and measure the effect on speed and quality.
- Influence and mentor engineers across Spanner, growing their technical depth and AI fluency, and share reusable patterns with partner teams across Google.
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