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In office (Kirkland)
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Middle · 2+ years exp
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
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.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google BigQuery is an exabyte-scale cloud data warehouse that runs over a billion queries a day for the world’s largest enterprises. On the BigQuery engine infrastructure at scale team, our mission is to build intelligent, AI-powered infrastructure that lets hundreds of engineers innovate fast and ship with confidence and drive BigQuery’s next-generation price-performance.

As a Software Engineer, you will build at the intersection of distributed systems, price-performance engineering, and applied AI/ML across BigQuery.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write product or system development code.

  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Qualifications

Minimum qualifications:

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

Preferred qualifications:

  • 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).
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