Neo4j Graph Database Developer (100% Remote)

Key Responsibilities

As a Graph Developer, you will design, build, and maintain our production-grade graph platforms. Your day-to-day responsibilities will include:

• Architecture & Modeling:Architect and model graph schemas specifically optimized for high-performance traversal and query efficiency.
• Data Hydration:Design, build, and operate robust ETL/ELT pipelines to efficiently hydrate the graph database from various upstream source systems at scale.
• API & Integration:Develop REST and GraphQL API endpoints, alongside Application-to-Application (A2A) endpoints, to seamlessly support agent orchestration workflows.
• Deployment & Testing:Develop, test, and deploy the end-to-end graph platform, ensuring high availability, security, and performance.

Required Skills & Qualifications

• Graph Expertise:Strong, hands-on experience with Neo4j and Cypher query language. Experience with Google Cloud Spanner is highly valued.
• Data Engineering:A proven track record of hydrating graph databases at scale using advanced ETL/ELT methodologies.
• Backend Development:Solid backend proficiency in at least one of the following languages: Python, Java, or Node.js.
• Integration Patterns:Familiarity with A2A protocols and agent-based integration patterns.
• Data Governance:Strong understanding of data governance practices and data security standards.

Preferred & Desired Skills

• Experience with Neo4j Graph Data Science (GDS).
• Knowledge of advanced knowledge graphsor ontology design.
• Familiarity with event streaming tools (e.g., Apache Kafka).
• Experience with LLM / RAG (Retrieval-Augmented Generation)integrations leveraging graph context.
• Experience with cloud-native deployments on AWS, Google Cloud Platform, or Azure.

Job Responsibilities

As a Graph Developer, you will design, build, and maintain our production-grade graph platforms. Your day-to-day responsibilities will include:

• Architecture & Modeling:Architect and model graph schemas specifically optimized for high-performance traversal and query efficiency.
• Data Hydration:Design, build, and operate robust ETL/ELT pipelines to efficiently hydrate the graph database from various upstream source systems at scale.
• API & Integration:Develop REST and GraphQL API endpoints, alongside Application-to-Application (A2A) endpoints, to seamlessly support agent orchestration workflows.
• Deployment & Testing:Develop, test, and deploy the end-to-end graph platform, ensuring high availability, security, and performance.