About Neo4jNeo4j 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 VisionAt 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 TeamIn the Connectors team, we have six engineers. Our work enables Neo4j to connect with the data ecosystem, facilitating the movement of data from other systems into a graph for analysis and returning the results to various business systems.
We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components for our Data Importer product, including deployment of those into our Kubernetes-based infrastructure. At times, we also need to build frontends for our customers to interact with what we build.
The RoleWe are constantly building new or improving existing connectors for Neo4j, making our database accessible from a wider range of environments, including widely used big data and data warehouse products in the cloud and on-premise, while also helping improve the core database’s data ingestion capabilities with new features.
As a software engineer in the Connectors team, you’ll:
What You'll Bring To This Role* You have 5+ years of experience developing production-level software * You have experience designing multi-threaded systems and algorithms * You have hands-on experience with backend programming languages, such as Kotlin, Java, or Go * You ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; + Distributed event streaming platforms, such as Apache Kafka or similar products, + Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, + Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc.
Nice-to-have
We encourage you to apply even if you don’t have experience across all of these areas, since the team will have a mix of different skills.
