Software Engineer III, Engineering Productivity, Cloud

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

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
• 2 years of experience building and scaling distributed services with a focus on reliability, security, and performance.
• 2 years of experience in software development, with experience in C++ or Go.

• Master's degree or PhD in Computer Science or related technical fields.
• Experience with high-scale relational/non-relational database systems.
• Experience developing user interfaces or command line interface (CLI) tools that simplify complex back-end workflows and improve the developer experience.
• Experience navigating both internal developer platforms and GCP (e.g., GCE, cloud networking, IAM) to build cross-platform solutions.
• Experience partnering with cross-functional engineering teams to gather requirements, resolve pain points, and drive the adoption of new infrastructure.
• Ability to manage technical debt and improve code health (e.g., through code reviews, design docs, and refactoring) across a shared codebase.

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 is a mission-critical multi-model database known for its unlimited scale, strong consistency, and 99.999% availability. As the product continues its steep growth trajectory both internally and externally, the Spanner Eng Prod team is at the forefront of ensuring its reliability.

Our mission is to engineer sustainable systems, infrastructure, and best practices that elevate product quality, performance, and data integrity. By deeply embedding with database engineering teams, we build the tools/framework that drive developer productivity, release velocity, and quality. With the rise of AI and agentic workflows, we are now able to fundamentally transform the Spanner developer experience.

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…