Job Description

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 with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience programming in C++.
• Experience with distributed systems and debugging.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• Experience shipping mission-critical code with high performance and correctness requirements.
• Knowledge and experience in debugging performance of a multi-node distributed systems
• Domain knowledge in the SQL database query processing and query optimization space.

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.

On the Query Optimization team, we're at the forefront of cloud-native data warehousing, powering mission-critical analytics for the world’s largest enterprises. We ensure customers can get the answers they need as quickly and efficiently as possible through a variety of means (i.e. algebraic SQL optimizations and materialized views). We have a track record of landing 100x impactful projects (History Based Optimization and winning awards (CTIA, Perfy, etc).

In this role, you will learn Query processing and optimization at depth, test your limits, and deliver customer-focused innovation across a growing set of mission-critical workloads. If you're ready to make a significant impact on a global product used by millions and dive into the technical depths of high-performance data processing, we want to hear from you.

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.

In this role, you will learn Query processing and optimization at depth, test your limits, and deliver customer-focused innovation across a growing set of mission-critical workloads. If you're ready to make a significant impact on a global product used by millions and dive into the technical depths of high-performance data processing, we want to hear from you.

Responsibilities

• 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.