Software Engineer - Go/Kubernetes, Sharding team

About this 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 Role: We're looking for a software engineer to join the Neo4j Sharding Engineering team. We own Infinigraph and Composite , and we make them work as managed offerings on Aura, Neo4j’s cloud platform. Aura is Neo4j’s fully managed graph database as a service. Customers create, scale, and use Neo4j databases in the cloud without installing, clustering, or operating the database themselves.

Aura runs on Kubernetes across Google Cloud, AWS, and Azure, and handles provisioning, networking, security, upgrades, and day-to-day operations for those databases. Composite is the technology behind distributed query execution in Neo4j: one query can span multiple databases. Infinigraph is our database sharding offering for large data volumes, built on a distributed database architecture. Distributed query execution is a complex and interesting topic covering query language design, performant networking, and concurrency.

Those capabilities still have to run as a cloud product, and that's where a large part of this role sits: building the Go services and Kubernetes machinery that provision, scale, and operate sharded and composite clusters on Aura, reliably, at the data volumes our customers keep growing into. As part of an energetic and fun team of engineers, you'll work at the frontier of designing and implementing new capabilities for Neo4j on Aura.