Software Engineer III, Database Conversion

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

• Design, build, and integrate cutting-edge AI agents and tools

• Build and extend the SQL service and engine development.
• Provide architecture guidance and principals for junior engineers as we evolve quickly in a very dynamic, and organizationally complex environment.
• Partner with technical leadership in related organizations to chart a shared path forward that balances both the short and long-term needs, ensuring reliable and flexible system foundations.
• Partner with PM, TPM, and other engineering teams for technical and product alignment.

Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

• 5 years of experience in backend software engineering or systems architecture.
• Experience delivering enterprise-grade quality product, preferably within the infrastructures (DB/Storage/Networking/Security) domain.
• Knowledge in databases and complex SQL query structuring.
• Proven track record of building and adopting AI technologies, moving beyond standard usage to active integration and development.
• Track record of effective collaboration cross-functionally and strategic thinking.