Description

Key Responsibilities:
• Architect and optimize graph schemas for high-performance traversal and querying
• Build and maintain scalable ETL/ELT pipelines for graph data hydration
• Develop REST APIs, GraphQL APIs, and A2A integration endpoints
• Support agent orchestration workflows and modern graph-based architectures
• Develop, test, and deploy production-grade graph platforms
• Ensure platform security, scalability, and high availability
✅ Required Skills & Experience:
• Strong hands-on experience with Neo4j and Cypher Query Language
• Experience building graph database solutions at enterprise scale
• Strong ETL/ELT and data engineering expertise
• Backend development experience with:
Python
Java
Node.js
• Familiarity with A2A protocols and agent-based integration patterns
• Strong understanding of data governance and security standards
⭐ Preferred Skills:
• Neo4j Graph Data Science (GDS) experience
• Knowledge Graphs and Ontology Design
• Experience with Apache Kafka or event-streaming platforms
• Experience with LLM / RAG integrations using graph context
• Cloud-native deployment experience on AWS, Azure, or GCP
• Experience with Google Cloud Spanner is a plus
🎯 Ideal Candidate:
✔ Strong graph database and data architecture expertise
✔ Experience working on enterprise-scale modern data platforms
✔ Strong analytical and backend engineering skills
✔ Ability to work independently in remote environments

Key Skills

Education

Any Gradute