You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
You have worked extensively with multiple types of data stores
You have contributed to initiatives in a platform or infrastructure-focused environment for several years
You have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first-order concerns
You have significant back-end engineering experience and have built, and operated distributed systems to solve problems at a high scale
Nice to Haves
You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune, or PuppyGraph
You have production-grade experience with Apache Iceberg
You have a solid grasp of query planning, or contributed to production-grade query engines or related projects
What You'll Be Doing
Build a query engine that supports efficient relationship traversals for demanding workloads
Contribute to design and drive high-priority projects to increase the platform's value, resilience, and scalability
Lead and guide other engineers through architectural platform decisions
Identify potential system risks and trends in reliability and design solutions to address them
Provide input on prioritizing engineering-led initiatives in planning and roadmaps
Collaborate with internal product teams to understand their requirements and plan for product growth
Perks and Benefits
Get to build tools for software engineers and utilize the tools to accelerate development
Have influence on product direction and impact on the business
Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn