Software Engineer III, Data Cloud, Spanner Graph Intelligence

Google • Sunnyvale, CA

6d • $141,000 - $202,000

About The Position

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 part of the Spanner team, you will help deliver Spanner Graph to reveal hidden relationships in data and supercharge AI applications with graph capabilities at virtually unlimited scale. You will work on unlocking the power of relational, graph, full-text, and vector search within a single database by combining graph database capabilities with Spanner's scalability, availability, and consistency. You will support an ISO Graph Query Language (GQL) compatible interface to enable interoperability between relational and graph models, allow users to map tables to property graphs using declarative schema without data migration, and enable late-binding data model choices per query to help customers choose the right tool for their workflows.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. The US base salary range for this full-time position is $141,000-$202,000 + 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 .

Requirements

• Bachelor’s degree in Computer Science or related areas.
• 2 years of experience developing large-scale distributed software or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience in C++, Java, or Go, with a focus on high-performance, low-latency code or 1 year of experience with an advanced degree in an industry setting.
• Experience with distributed databases, database internals, query processing, and query optimization.

Nice To Haves

• Master's degree or PhD in Computer Science or related technical fields.
• Experience designing and developing database internals, query planning and execution.
• Experience developing graph algorithms.
• Experience applying Graph Neural Networks (GNN)/GraphRAG for production systems.

Responsibilities

• Design and develop native capabilities to extract data intelligence (Graph Algorithms, GNN) on Spanner Graph, enabling relationship-aware AI/ML, and build state-of-the-art GraphRAG solutions on Spanner Graph to help LLMs/Agentic flows with reasoning.
• Partner with Production Support Office (PSO), and Product Manager (PM) teams, and collaborate with internal and external customers to understand and predict graph intelligence needs, delivering end-to-end solutions along with production maintenance and support.
• Design, build, maintain graph intelligence capabilities on Spanner.
• Design, implement languages (GoogleSQL) through which users can express their graph intelligence intent.
• Explore, prototype, and productionize approaches to integrate graph intelligence into AI/ML systems.
• Drive projects from vague requirements through production deployment, directly enhancing Google’s flagship database.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees