Cloud Software Engineer - GenAI

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.

At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.

Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving its accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more  and follow us on Linked In .

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.

Join Neo4j's innovative Generative AI (Gen AI) team, where we build advanced AI and machine learning solutions. As a Software Engineer - Cloud, you will be instrumental in architecting and deploying our products to Neo4j Aura, our cloud platform. You will contribute to both existing and new products as we expand our suite of Gen AI offerings.

• Infrastructure Design & Architecture: Design and manage scalable, secure cloud infrastructure on GCP and similar platforms.
• Kubernetes Orchestration: Deploy, manage, and optimise Gen AI applications for Kubernetes, handling deployments, stateful applications, resource scheduling, and troubleshooting.
• Security & Compliance: Ensure adherence to security best practices and compliance standards.
• Troubleshooting & Support: Diagnose and resolve complex infrastructure and application issues.
• Innovation & Research: Stay updated on cloud, Kubernetes, and Gen AI infrastructure advancements.

• Strong cloud development experience with major platforms (AWS, GCP, Azure) including Kubernetes, containerisation, and distributed systems architecture for scalable Gen AI applications.
• 5+ years of software engineering experience with proficiency in Go, Java, Python, or Scala, and willingness to learn complementary technologies in Neo4j's tech stack.
• Hands‑on expertise with generative AI concepts including LLMs, vector databases, RAG (Retrieval Augmented Generation) implementations, and agent frameworks such as Lang Graph, Lang Chain, or similar
• Experience with monitoring and logging tools (Prometheus, Grafana).
• Excellent problem‑solving, analytical, and communication skills.

Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.

• Raised the biggest funding round in database history ($325M Series F). Backed by world‑class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well‑funded database companies in history.
• Co‑founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
• Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A…