Tech Lead, Backend - GraphAware Hume

Stack

Responsibilities

• ▹Drive platform architecture and set the technical direction for the transversal foundations that every Hume feature team builds on
• ▹Own the Neo4j strategy: track and hands-on test new releases and ecosystem tooling (GDS, APOC, etc.), assess breaking changes, propose new product opportunities and plan deliberate, scalable migrations
• ▹Optimize Cypher queries and graph access patterns for latency, throughput and scale
• ▹Mentor engineers and raise the team's technical bar (especially in Neo4j) without formal management authority
• ▹Partner closely with Product Managers to translate long-term product goals into scalable technical roadmaps
• ▹Design secure, scalable access control systems for mission-critical environments
• ▹Build APIs for intuitive user interaction with complex data
• ▹Orchestrate workflows to automate graph analytics, inference and real-time insights

Requirements

• ▹Deep, hands-on Neo4j expertise, including advanced Cypher query performance optimization, profiling and familiarity with the broader Neo4j ecosystem (GDS, APOC, drivers)
• ▹Experience modelling real domains as property graphs, treating nodes, relationships, labels and properties as a first-class design activity
• ▹Track record of leading architecture and technical direction for a team or product area
• ▹Proven ability to drive consensus across engineering teams for large-scale architectural changes
• ▹8+ years of backend experience with large-scale, complex applications and cross-functional teams
• ▹Fluency in Java (or a strong JVM background), plus Clean Architecture, Domain-Driven Design and Test-Driven Development
• ▹Advanced debugging and profiling techniques; writing composable, maintainable and testable code
• ▹Spring or similar frameworks for building secure, modular and scalable APIs
• ▹Working knowledge of modern CI/CD pipelines, containerization (Docker) and automated deployment
• ▹Strong security mindset, with practical knowledge of secure software design and common vulnerabilities (e.g. OWASP)
• ▹Comfortable with remote collaboration and asynchronous communication

Nice to have

• ▹Relational modelling with PostgreSQL
• ▹Knowledge graphs and GraphRAG: building knowledge graphs and grounding LLMs with graph-based retrieval (e.g. neo4j-graphrag, LangChain, LlamaIndex)
• ▹Graph algorithms and analytics (pathfinding, centrality, community detection) via Neo4j GDS, event-driven architectures, Kafka or distributed systems
• ▹Evolving large graph data models over time: schema refactoring, migrations and versioning
• ▹Cloud-native development, observability and performance tuning

Soft skills

What we offer

• ▹Remote work
• ▹Non-micromanaged, excellence-driven environment
• ▹Collaboration with a world-class team of engineers, data scientists and product thinkers

About the company

Neo4j is the world's most popular graph database platform, helping organizations turn connected data into knowledge. 84% of the Fortune 100 use it.