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Google

Software Engineer III, BigQuery Engine Infrastructure

Kirkland, WA, United States

Apply on google.com About employer

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Job details

Posting language: English

Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

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).

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.

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.

Apply on google.com About employer

More about this job

Skills

BigQuery
Software development
C++
Debugging
Computer science
ML
Statistics
SQL
Distributed computing
Data storage
Natural language processing
UI design
Leadership
Google Cloud
Documentation

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Jobs in the United States