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Lead technical direction for Spanner's next-generation Batch I/O interface and modernize Spanner Serving using AI-assisted development to reduce technical debt. Design and deploy AI-powered tools and automated workflows to accelerate development, code review, testing, and incident response. Define AI-first engineering practices, mentor engineers across Spanner, and share patterns with partner teams. Requires Bachelor's degree, five years designing and architecting large-scale infrastructure or distributed systems, and experience innovating development processes using AI.

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Job Description

  • 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.
  • 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.
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  • Role Senior Staff Software Engineer, Infrastructure Spanner Team
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

209K – 286K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 50 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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