Design and build the graph query engine within Cloud Spanner, enabling seamless execution of graph queries alongside standard Google SQL on globally distributed, petabyte-scale data.

Develop high-performance C++ code to optimize critical paths including graph traversals, query planning, and storage interaction, while ensuring strict ACID guarantees and low latency.

Design and implement complex technical projects such as path-finding algorithms and query engine interoperability, taking them from ambiguous requirements to production deployment with a high degree of autonomy.

Act as a trusted technical advisor for key customers, providing expert consultancy on graph schema design, query performance tuning, and best practices for large-scale implementations.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages (e.g. C++).

3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Experience with database internals, distributed systems, and compilers.