Senior Software Engineer, Cloud Spanner Graph Platform
Posted Updated
Summary
Senior engineer on Google Cloud's Spanner Graph Platform team, leading design and implementation of the next-generation Graph Query Engine — a distributed graph database built in C++ to handle petabyte-scale data for enterprise serving and AI infrastructure like knowledge graphs and AI memory.
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.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
As a key member of the Spanner Graph Platform team, you will lead the design and implementation of our next-generation Graph Query Engine—a market-unique graph database offering built to power both mission-critical enterprise serving and advanced AI infrastructure, including knowledge graphs, context retrieval, and AI memory.
In this role, you will bridge the gap between relational and graph paradigms, engineering high-performance C++ solutions that operate on globally distributed, petabyte-scale datasets. Beyond core systems development, you will act as a technical authority, navigating ambiguous requirements to deliver critical features and consulting with high-value customers to optimize their most complex data architectures.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- 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 and the impact on hardware, network, or service operations and quality.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
- Experience programming in C++.
- Experience with distributed databases, compilers, and database internals.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- Experience developing accessible technologies that has high unit economics.
- Experience with query compilers, query optimization, and execution engines with knowledge of GQL or Cypher.
- Understanding of concurrency control, consensus algorithms (Paxos), and data replication strategies.
