Senior Software Engineer - Graph Technology

Neo4J — United Kingdom · Posted ~9 hours ago

Senior

Skills

Software engineering Graph databases AI systems Cloud technologies AI Cloud

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Summary ✨ AI‑Generated

Work on next-generation intelligent applications by developing software solutions around connected data, AI systems, and scalable architectures.

Highlights

Senior engineering role focused on intelligent data systems, AI applications, and advanced software solutions.

Description

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 Product Engineering at Neo4j GraphAware offers a unique opportunity to build real-world intelligence systems that matter. We are aiming to hire someone in the the UK, Czechia or Italy. Build with purpose: Your code will help law enforcement and analysts save lives and protect communities through better data insight.Innovative tech: Work with knowledge graphs, workflow engines, LLMs, and graph-native UIs pushing the boundaries of data analytics.Shape the future: Contribute to product direction and technical vision alongside a senior engineering team.True autonomy: Own your work, from ideation to deployment, in a remote-first team.Global mindset: Collaborate with a world-class team of engineers, data scientists, and product thinkers across Europe and beyond.Growth without bureaucracy: Develop your skills in a non-micromanaged, excellence-driven environment The Role As a Senior Software Engineer, you will shape the core intelligence of GraphAware Hume, our graph-powered analytics platform. Your Responsibilities Will Include Building APIs for intuitive user interaction with complex dataDesigning secure, scalable access control systems for mission-critical environmentsOrchestrating workflows to automate graph analytics, inference, and real-time insightsOptimizing application performance and collaborating with other engineers to ensure seamless user experiencesContributing to architecture and technical design with the team What you must know already and be excited to grow further Proven experience in backend systems (8+ years) with exposure to large-scale, complex applications and cross-functional teamsFluency in Java, with a deep understanding of modern software engineering principles, including:Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD)Advanced debugging and profiling techniques,Writing composable, maintainable, and testable codeSpring or similar frameworks with emphasis on building secure, modular, and scalable APIsExperience designing data models, both relational (e.g., PostgreSQL) and ideally graph-based (Neo4j or similar)Working knowledge of modern CI/CD pipelines, containerization (Docker), and automated deployment workflowsStrong security mindset, with practical knowledge of secure software design and common vulnerabilities (e.g., OWASP)Comfortable with remote team collaboration, i.e. tools and practices for asynchronous communication Bonus Points For Familiarity With Graph technologies: Cypher, Neo4j, knowledge graphEvent-driven architectures, Kafka, or distributed systemsCloud-native development, observability, and performance tuningExperience working with LLMs or integrating AI/ML into production systems