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Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
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
The Neo4j Data Importer helps our users create graphs from any type of structured or unstructured data sources - databases, data warehouses, files, web pages, etc. It is a great place to start when just getting into graphs, but is also very useful for handling large amounts of data in more advanced setups. You connect your data source, get a suggested graph, and make any edits needed to the data mapping before starting your import jobs. You will work primarily on our backend cloud services that manage these import jobs. There will also be opportunities to work on our frontend application, if that interests you.
As part of the Data Importer team, you will work closely with Product Management and other teams such as Connectors, GenAI, Core Database and Cloud teams to build highly usable and performant services. The team consists of 6 engineers located in Malmö and London.
What You'll Do
We are seeking engineers with experience in building production-grade cloud data systems. You will:
- Design and implement the cloud architecture that forms the foundation of current and future Data Importer functionality.
- Have the opportunity to learn about and enable state-of-the-art graph database and ML features.
- Work on our cloud components, which include our API backend services and Kubernetes controllers.
- Develop software primarily in Go and Kotlin/JVM and potentially TypeScript
- Apply data and benchmark-driven practices to drive decision-making and design.
- Work in a highly collaborative and friendly team of skilled and motivated engineers.
- Identify and integrate new areas of research that can solve our customers’ most difficult problems.
- Partner with other engineering teams at Neo4j to ensure interoperability with the rest of the Neo4j Aura platform.
- A strong proficiency in Go.
- Experience in building, deploying, and maintaining highly scalable and available services running in Kubernetes.
- Experience in designing and using monitoring and alerting tools in the cloud (e.g. Prometheus, Grafana).
- An understanding of security best practices in the cloud.
- Processing business requirements and working with PM and the Engineering team to form clear technical requirements.
- Testing complex cloud microservices, infrastructure as code and CI/CD best practices.
- Experience in developing production-grade software with a focus on performance and scalability.
- Creativity and motivation to drive your own ideas.
- Master's degree in Computer Science or another related field, or 3+ years of professional experience as a software engineer.
- Experience or interest in working with Kotlin/JVM.
- Experience or interest in working with Typescript
- Experience with database technology (SQL, NoSQL).
- Familiarity with graph theory.
- Experience working in a distributed / remote-friendly team.
Key Skills
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