Description

You will design, build, and maintain a production-grade Neo4j graph database, owning the full lifecycle from schema design to API consumption.

This role is on-site.

Responsibilities

• Architect and model high-performance graph schemas optimized for traversal and query efficiency.
• Design and operate ETL/ELT pipelines to hydrate graph data from multiple source systems.
• Build and manage REST and GraphQL APIs for application consumption.
• Develop Application-to-Application (A2A) endpoints to support agent orchestration workflows.
• Ensure system scalability, reliability, and performance across environments.

Required Skills

• Hands-on experience with Neo4j and strong proficiency in Cypher query language.
• Proven experience hydrating graph databases at scale.
• Strong backend development skills in Python, Java, or Node.js.
• Experience with A2A protocols and agent-based integration patterns.
• Understanding of data governance practices.
• Experience with ETL/ELT pipelines.

Preferred Skills

• Experience with Neo4j Graph Data Science (GDS).
• Familiarity with event streaming platforms such as Kafka.
• Exposure to LLM / Retrieval-Augmented Generation (RAG) integrations with graph data.

Key Skills

Education

Any Graduate