Senior Software Engineer - Graph Analytics for Snowflake

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role Join the team behind Neo4j Graph Analytics for Snowflake , our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps , with a meaningful say in the platform's technical direction. What You'll Do 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. What You'll Bring 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. Bonus Points 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-f