- 6+ years of software engineering experience in enterprise applications, platforms, or data integration environments.
- 4+ years of hands-on Java development experience with Spring Boot, REST APIs, and SQL.
- Strong knowledge of semantic technologies, including RDF/OWL, SPARQL, Apache Jena, or similar graph/ontology frameworks.
- Experience in data modeling, schema mapping, canonical data models, and master data management across multiple systems.
- Exposure to cloud platforms (AWS preferred), CI/CD pipelines, application deployment, and monitoring.
- Ability to design scalable integration solutions and communicate technical concepts to diverse stakeholders.
- Experience mentoring engineers and providing technical guidance and code reviews.
- Strong analytical, problem-solving, ownership, and collaboration skills.
- Experience working in Agile development environments and cross-functional teams.

- Design and develop ontology models (RDF/OWL) and canonical data models for cross-ERP integration domains, including Customer Master, Order-to-Cash, and Financials.
- Develop and optimize SPARQL queries and Apache Jena (TDB2) services for large-scale semantic data management and access.
- Lead ERP-to-canonical model mapping initiatives, handling schema variations, multi-tenant requirements, and schema evolution.
- Create SHACL validation rules and data quality frameworks to ensure consistency and integrity of ontology and canonical model artifacts.
- Mentor Software Engineers on ontology modeling, semantic technologies,



and canonical data modeling best practices.
- Contribute ontology and canonical artifacts supporting Data Fabric ETL, streaming pipelines, and future GenAI/RAG knowledge graph initiatives.
- Participate in architecture reviews, drive design discussions, and support governance for ontology versioning and canonical schema management.
- Collaborate with product, engineering, and quality teams to deliver scalable semantic data solutions across enterprise platforms.

Infor is building a recent Data Fabric capability that bridges structural data gaps across Infors ERP products through a canonical data model, and elevates that canonical data into unified business intelligence through an ontology layer built on Apache Jena and SPARQL. Together these capabilities lower cross-application integration cost, unlock multi-tenant analytics, and provide the semantic foundation required to scale Generative AI from Data Fabric.

As a Senior Software Engineer, you will design and build core pieces of this semantic layer: ontology models, canonical entity schemas, and the SPARQL/Jena-based services that expose them, while mentoring Software Engineers and partnering closely with the Team Leader and architecture stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Java Software Engineer - AI & Data Platforms (Hyderabad)
🏢 Infor
📍 Hyderabad