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.

Spanner Batch Team empowers customers to perform large-scale data processing against their Spanner databases efficiently, reliably, and without impacting live transactional workloads. Key initiatives include enhancing efficiency of writes by developing improved mechanisms for read-modify-write operations, creating more performant bulk data loading pathways(essential for emerging AI/ML workloads), introducing advanced mutation semantics and data life-cycle management features. These efforts collectively aim to strenthen Spanner as a comprehensive platform for both online transactional systems and offline large-scale data processing.

We are looking for Software Engineers with an interest and significant systems experience to solve critical problems related to Spanner availability and scale.
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 $147,000-$211,000 + 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

• 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.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience programming in C++, or 1 year of experience with an advanced degree in an industry setting.

• 2 years of experience designing and developing distributed databases or storage systems.

• Experience in performance analysis, debugging, and optimization for distributed or low-level systems.

• Experience with concurrency, multithreading and synchronization.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.

• Experience with database internals and diagnosing of issues such as memory leaks, data corruption, database performance and tuning.

• Experience with transactional database systems.

• Understanding of distributed computing concepts, consensus algorithms (e.g., Paxos).