Software Engineer III, BigQuery Engine Infrastructure

Google•Kirkland, WA

6h•$147,000 - $210,000

About The Position

Google's software engineers develop technologies used by billions of people and build products that handle information at massive scale. Engineers work on projects critical to Google's needs, with opportunities to move between teams and projects as the business evolves. The role calls for versatility, leadership qualities, and enthusiasm for taking on new problems across the full stack. Google BigQuery is an exabyte-scale cloud data warehouse that runs more than a billion queries daily for large enterprises. The BigQuery Engine Infrastructure at Scale team builds intelligent, AI-powered infrastructure to help engineers innovate and ship with confidence, while advancing BigQuery's price-performance. In this role, you will work at the intersection of distributed systems, price-performance engineering, and applied AI/ML across BigQuery. Google Cloud provides enterprise-grade solutions and developer tools to help organizations digitally transform and build more sustainably. Individual pay depends on job-related skills, experience, and relevant education or training. The listed U.S. compensation is $147,000–$210,000, plus a 15% bonus target, equity, and benefits.

Requirements

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 developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies or storage.
Experience programming in C++.
Experience in back-end development and debugging.

Nice To Haves

Master's degree or PhD in Computer Science or related technical fields.
Experience or interest in applying AI/ML, LLMs, or statistical modeling to infrastructure challenges such as anomaly detection, clustering, or automated diagnostics.
Experience or strong interest in performance engineering, benchmarking, statistical analysis, or optimizing large-scale systems.
Familiarity with SQL, database internals, query engines, cloud data warehouses (BigQuery), or open lakehouse formats (Apache Iceberg).

Responsibilities

Write product or system development code.
Participate in or lead design reviews with peers and stakeholders to decide among available technologies.
Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing their sources and their impact on hardware, network, or service operations and quality.