Senior Staff Software Engineer, Infrastructure Spanner Team

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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

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.

In most instances, this position requires in-person interviews as part of the hiring process.