Software Engineer, BigQuery, Search

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, storage or hardware architecture.
• Experience in SQL and Large-Scale Distributed Systems.
• Experience programming in C++ or Java.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures or algorithms.
• Experience in one or more of the following: search infrastructure, data analytics, database internals, and machine learning.
• Experience with database internals, and building a query processing engine for SQL databases.
• Experience building transaction processing systems (OLTP) or larger scale analytics (OLAP).
• Experience with Search Infrastructure, and familiarity with search ranking/embedding similarity search.

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.

BigQuery is a fully managed and highly scalable data warehouse, which is offered as a part of Google Cloud. It continues to be a differentiator driving Google Cloud growth. In particular, it is one of the main reasons many customers choose Google Cloud. BigQuery is growing fast, and needs solid engineers to help continue this growth.

BigQuery Search is a relatively new project aimed at providing fast search and analytics for structured and semi-structured data at Petabyte scale. With the customers’ data in BigQuery’s managed storage, BigSearch addresses full-text search by offering a managed indexing subsystem within BigQuery. As a result, the data is fully searchable and available for analysis using the customer’s existing tools, which saves time and cost.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and implement components of the BigQuery Search system with guidance.
• Take ownership of the solution, even when this involves many activities beyond coding such as: reliability monitoring and alerting, security and privacy practices, ensuring proper implementation and providing product support, documentation, integration testing, and production hygiene and support processes.