Software Engineer - Graph Analytics

About the role

About Neo4j:

Neo4j 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 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 Team:

Do you have a passion for large-scale cloud systems, graph technology, and robust system design? Are you eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs.

As a Developer on our team, you will sit at the intersection of our entire platform ecosystem. You will gain hands-on experience bridging cloud infrastructure, robust backend services, and user-facing client code. In this role, you will actively contribute to:

- Telemetry & User Observability: Building tools and metrics that give users clear insights into platform health and job execution.

- Data Transfer & Performance: Optimizing pipelines for seamless data ingestion and streaming between client environments and our cloud backend.

- Developer UX Improvements: Refining client interfaces and integration points to ensure our platform is intuitive, fast, and easy to adopt.

This is an opportunity to directly impact the tools our global customer base relies on every day, working alongside a supportive team that will help you sharpen your skills across the full technology stack.

What You'll do:

- Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura

- Write new features that bridge the gap between on-premise and cloud solutions

- Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability

- Work on and improve the observability of our cloud systems

- Work in a highly collaborative and friendly team of skilled and motivated engineers