About the job
Neo4j is the premier graph intelligence platform designed to convert data into actionable insights, facilitating the development of cutting-edge intelligent applications and AI systems. With enterprise-ready knowledge graphs that ensure accuracy, explainability, and governance in AI, we offer the most extensive, reliable, and user-friendly graph capabilities compatible with any environment and data source. Our community includes 84 of the Fortune 100 companies, making us a trusted name in the industry.
Our platform is engineered for seamless integration across all clouds, delivering dynamic, personalized, and autonomous AI solutions. We pride ourselves on providing rapid results and contextual knowledge, impacting customers and employees alike.
At Neo4j, we continuously strive to help the world unravel the complexities of data. As the interconnectivity of business, society, and knowledge evolves, our technology fosters innovation, enabling organizations to discover and comprehend data relationships. We are at the forefront of the graph database sector, redefining how organizations utilize data to innovate and maintain a competitive edge.
The Role:
Are you passionate about tackling sophisticated computer science challenges? Do you want to collaborate with a team that prioritizes user success and values open intellectual discourse? We are on the lookout for a skilled backend engineer to join our dynamic Kernel team, adept at overcoming technical challenges and producing high-quality code. You will be a vital part of a talented, energetic, and enjoyable team of engineers dedicated to advancing our storage engines, transaction handling, indexing, data importing, and page caching to enhance the core of our graph database. This role includes collaboration with an international team based in both Malmö and London.
Responsibilities:
- Develop and deploy new features for the core of our leading graph database.
- Produce high-quality, testable, and efficient code.
- Encourage innovative ideas, actively participate in feature discussions and roadmap prioritization.
- Integrate research and emerging technologies into our systems.

