Requirements

4+ years of professional experience building and shipping production-quality software.
Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).
Solid grounding in at least one of Java or Python, and willingness to be effective in both.
A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product.
Experience designing software for performance, scalability, and predictable cost on cloud infrastructure.

Nice to Haves

Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale.
Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.).
Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them.
Background in distributed systems, JVM performance tuning, or columnar/analytical query engines.
Experience working in a distributed, remote-first team and shipping to enterprise customers.

Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform.
Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses.
Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services.
Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning.
Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features.
Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments.

Opportunity to shape the future of data and analytics in a fast-scaling technology company like Neo4j.
Challenging role at the intersection of graph analytics, cloud-native distribution, and DevOps.
Meaningful say in the platform's technical direction.
Inclusive, diverse, and equitable workplace for personal development and positive career experience.
Joining a company with a proven product/market fit and strong customer base, including Fortune 100 organizations.