Google Senior Software Engineer, Infrastructure, BigQuery

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Job Details

Posted date: Nov 25, 2024

Location: Kirkland, WA

Level: Senior

Estimated salary: $200,000
Range: $161,000 - $239,000


Description

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.

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.

As a member of the BigQuery Storage I/O team, you will be responsible for supporting the growth and evolution of a large and successful infrastructure service under the BigQuery umbrella and delighting customers by driving improvements in the performance, reliability, and usability of a variety of integration points between BigQuery and the open-source data processing ecosystem.

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 $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Qualifications

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Java or C++). 5 years of experience with data structures or algorithms in either an academic or industry setting. 5 years of experience building and developing large-scale infrastructure or distributed systems.

Preferred qualifications: Experience in code and system health, diagnosis and resolution, and software test engineering.

Experience with storage systems or file systems.

Experience with Spark, Hive, HDFS and BigQuery.

Experience developing accessible technologies.

Extended Qualifications

Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Java or C++). 5 years of experience with data structures or algorithms in either an academic or industry setting. 5 years of experience building and developing large-scale infrastructure or distributed systems.

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