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 a production-grade query engine or related projects
What You’ll Be Doing:
Build a query engine that supports efficient relationship traversals for our most demanding workloads
Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams
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 short- and long-term planning and roadmaps
Collaborate with internal product teams to understand their requirements and plan for their product growth as they integrate and depend on REDAPL
Perks and Benefits:
Get to build tools for software engineers, just like yourself, and use the tools we build to accelerate our development
Have a lot of influence on product direction and impact on the business
Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn