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 how we plan for their product growth as they integrate and depend on REDAPL
Requirements
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
Bonus points: 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 better yet
contributed to a production-grade query engines or related projects (e.g. Trino, Calcite, Substrait, DataFusion, etc) ideally demonstrated through open-source contributions or PMC membership on projects.
Tech Stack
Apache
Distributed Systems
Neo4j
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