About the job
Neo4j is the leading graph intelligence platform that revolutionizes data into actionable insights, enabling the creation of advanced intelligent applications and AI systems. Our platform offers enterprise-ready knowledge graphs that ensure accuracy, explainability, and governance for AI; providing the most comprehensive and user-friendly graph capabilities across a myriad of environments and data sources. Trusted by 84 of the Fortune 100 companies and supported by the world’s largest graph community, we deliver intelligence that yields meaningful results.
Designed for seamless integration and operation across all cloud environments, our technology drives rapid results, contextual knowledge, and impactful solutions that benefit both customers and employees across organizations.
At Neo4j, our mission is to empower the world to make sense of data. As businesses, societies, and knowledge become increasingly interconnected, our technology fosters innovation by enabling organizations to uncover and comprehend data relationships. We are at the forefront of the graph database revolution, transforming how organizations leverage their data to innovate and maintain a competitive edge.
The Role:
Are you passionate about tackling complex computer science challenges? Do you want to collaborate within a team that prioritizes user success and encourages open, intellectually honest discussions? We are seeking a seasoned backend engineer to join our dynamic Kernel team. You will work alongside a talented and enthusiastic group of engineers focused on developing storage engines, transaction management, indexing, data import processes, and page caching to enhance the core functionality of our graph database.
Join our international team based in Malmö and London as we continue to innovate in the field of graph databases!
Key Responsibilities:
- Develop and implement new features for the core of our leading graph database.
- Write high-quality, testable, and efficient code.
- Contribute fresh ideas and actively participate in discussions about features and roadmap prioritization.
- Integrate cutting-edge research and technologies into the product.
