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Neo4j is the graph intelligence platform transforming data into knowledge for AI systems and intelligent applications. The company serves 84 of the Fortune 100 and has raised over $600M in funding, recently surpassing $200M in annual recurring revenue.
You will join the Graph Data Science platform team, working at the intersection of cloud infrastructure, backend services, and client-facing code. This role focuses on improving Neo4j's Graph Data Science platform and its integrations in Neo4j Aura, bridging on-premise and cloud solutions.
Key responsibilities include:
- Building telemetry and observability tools that give users clear insights into platform health and job execution
- Optimizing data transfer pipelines for seamless ingestion and streaming between client environments and cloud backend
- Improving developer UX by refining client interfaces and integration points
- Writing features in Java, Go, and Python with focus on usability, efficiency, and scalability
- Enhancing observability of cloud systems
- Identifying and integrating new research areas to solve customer problems
- Partnering with engineers across Neo4j teams to ensure interoperability with the core database
You will work in a highly collaborative, distributed, and remote-first team of skilled engineers, with direct impact on tools used by Neo4j's global customer base.
Requirements:
- Interest in JVM languages or system programming languages (C, C++, Rust) with willingness to learn Java, Go, Python
- Interest or experience with Kubernetes and cloud computing
- Familiarity with graph theory
- Creativity and motivation to drive your own ideas
- Willingness to work in a distributed and remote-first team
- Master's degree in Computer Science or related field, OR 3+ years of professional experience as a software engineer
