Senior Software Engineer - Database Systems

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages (e.g., C++, Java, Python).
• Experience in software design and development.

Preferred qualifications:

• Experience designing, building, or maintaining large-scale distributed systems.
• Experience in designing and developing clear and maintainable APIs for scalable services.
• Deep understanding or experience working with the GoogleSQL dialect.
• Understanding of database engine internals (e.g., query processing, storage engines, transaction management), especially in scalable environments.
• Familiarity with PostgreSQL internals, extension development, or significant experience using it at scale.
• Proven ability to analyze and optimize the performance and scalability of database systems, query execution, or other systems software.

About the job

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.

As a Software Engineer, you will play a key role in enhancing the power and usability of Spanner, Google Cloud's globally distributed, strongly consistent database service. You will be responsible for designing, developing, and testing new SQL data types and functions for both GoogleSQL and PostgreSQL dialects. Your contributions will directly impact customer adoption and satisfaction by improving compatibility, enabling new use cases for relational, key-value, and graph workloads, and making it easier for developers to build and migrate applications on Spanner. You will need to have an understanding of database concepts, strong C++ programming skills, and the ability to take ownership of feature development from design to launch, with guidance from executive team members.

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.

Responsibilities

• Develop expertise in Spanner's architecture and the SQL language dialects (GoogleSQL and PostgreSQL).
• Design, implement, and test new SQL data types and functions within the Spanner database kernel, primarily using C++.
• Contribute to the full feature lifecycle, including requirements analysis, design documentation, coding, testing, and rollout. Collaborate with other engineers on the team, as well as with cross-functional teams like query processing, client libraries, and Site Reliability Engineering (SRE).
• Write well-factored, testable, and resilient code, adhering to Google's engineering best practices. Participate in design discussions and code reviews, providing and receiving constructive feedback. Plan, prioritize, and execute assigned tasks and projects, typically spanning several weeks to months.
• Debug and resolve issues related to SQL types and functions in production and testing environments. Contribute to team documentation and best practices.