Senior Software Engineer, BigQuery Search

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.

BigQuery Search provides high-performance search and analytics for structured and semi-structured data at petabyte scale, with a primary focus on powering mission-critical security log analysis and observability workloads. Traditional real-time search solutions often struggle to scale effectively; BigQuery Search addresses these challenges by offering a managed indexing subsystem integrated directly within BigQuery.

We are deeply committed to making search on BigQuery data more performant and cost-effective through continuous architectural innovation. Our engineering efforts focus on optimizing indexing freshness and reducing operational costs by aligning indexing with base table storage optimizations. These advancements result in massive reductions in slot usage and scanned data, enabling customers to run high-concurrency investigations with industry-leading price-performance.

With an ambitious roadmap, we are building a sophisticated search platform designed for the Agentic AI era.

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.

• Write and test 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.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience programming in C++ and Java.
• Experience with SQL and large-scale distributed systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience building a query processing engine for a SQL RDBMS.
• Experience building transaction processing systems (OLTP) or larger scale analytics (OLAP).
• Experience in one or more of the following:
  Search Infrastructure, Data Analytics, Database Internals, Machine Learning.
• High availability designs, parallel/horizontal scale-out database architectures.
• Passion for delighting enterprise customers, and an excellent understanding of enterprise workloads.