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Salary
≈ $146k – $271k per year (Estimated)
Location
In office (Kirkland)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 16, 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.

Spanner combines the power and familiarity of relational databases with horizontal scalability typical of non-relational stores. It is the first scalable, enterprise grade, globally distributed, and strongly consistent database service. The Spanner Analytics team's mission is to unify transactional and analytical workloads to allow real-time insights and a serving of operational and lakehouse data. We work closely with internal and external customers to ensure analytic queries scale and perform on exabytes of data.

Key to success on the Spanner team are to be an effective collaborator and to balance learning with continued progress on deliverables. You will learn about Spanner's query engine and collaborate with experts in the areas of storage, transaction processing, scheduling etc.

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: $174000 - $252000 (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 on the 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.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of programming experience in C++.
  • 3 years of experience in architecting and developing large-scale infrastructure or distributed systems (storage, databases etc).
  • Experience with cloud databases, performance optimization, and benchmarking.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience designing and developing relational databases, database internals, query processing and query optimization.
  • Experience building transaction processing systems (OLTP) or larger scale analytics (OLAP).
  • Experience building data warehousing systems (e.g., Spark, BigQuery).
  • Experience in code and system health, diagnosis and resolution, and software test engineering.
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