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Senior Staff Software Engineer, Infrastructure Spanner Team

Google • Operating Systems • Streaming & OTT Platforms • Bachelor's Degree • SQL • 1 day ago

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Salary

≈ $184k – $336k per year (Estimated)

Location

In office (Sunnyvale)

Seniority

Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026. Google scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Google

Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

google.com • HQ: Mountain View, United States • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

Backed by Y Combinator, Frontline, Seraphim Space

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.

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.

Qualifications

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.

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