The ideal candidate is a specialist in graph databases and complex data access. You will be responsible for creating highly efficient and flexible data services using GraphQL and leveraging Neo4j to build robust knowledge graph platforms. This role is highly critical for supporting advanced AI-driven features like recommendation engines.
Key Requirements
7+ years of professional experience in software engineering.
Core Skills: Strong proficiency in Java (Java 17+ or higher is preferred) and expertise in Neo4j or other Graph database technologies.
Mandatory Shared Experience (Required for All Roles):
Hands-on exposure and experience with Agentic AI technologies.
Deep experience with DynamoDB for high-performance NoSQL data persistence.
Proficiency in developing and deploying services on AWS.
Experience with data streaming technologies like Flink.
Familiarity with monitoring and observability tools such as Splunk/Wavefront.
Expertise in designing and implementing performant APIs using GraphQL.
Focus: Developing advanced knowledge graph solutions and unified, highly efficient data access layers for complex relationship modeling and query processing.
Required Tech Stack: Java, GraphQL, Neo4j, DynamoDB, Agentic AI exposure and hands on, Splunk/wavefront, Flink, AWS