Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 one of the leaders in the data warehousing space. As we learned in recent years, most of the queries users run are working on small datasets. The trend is so profound that some ex-BigQuery leaders even start new businesses to solve that exact use case (e.g.big data is dead). Our mission is to make BigQuery the best solution for those workloads.
In this role, you will build optimizations to solve parts of this problem, that small queries on industry benchmarks can execute an order of magnitude faster if we cut overhead and optimize execution, as a result, half of BigQuery queries could run over 50% faster, closing a major competitive gap.
In this role, your mission is to make BigQuery the best data warehouse for low latency, high throughput use-cases. Join if you like optimizing large distributed systems, improving latency and efficiency.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.
The US base salary range for this full-time position is $207,000-$300,000 + 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
- Improve BigQuery engine to remove bottlenecks for low latency queries, design solutions that are easy to maintain and extend.
- Conduct tests and monitor the system to ensure quality.
- Collaborate efficiently with other BigQuery teams to reduce overhead and remove bottlenecks.
- Develop within the BigQuery and Dremel codebase, primarily C++ with some Java in the data plane and Python for tests.
- Elevate engineering excellence across the stack.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Electronics or Computer Engineering emphasis on computer architecture and performance analysis or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- Experience designing and developing relational and distributed databases, database internals, transactional systems, query processing, and query optimization.
Preferred qualifications:
- Experience architecting and developing software or infrastructure for scalable, high performance, distributed systems.
- Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- Deep understanding of multithreading, concurrency, and asynchronous programming.