- 6+ years of software engineering experience in enterprise product, platform, or data integration environments.
- 4+ years of hands-on Java development, preferably with Spring Boot, REST APIs, and SQL.
- Hands-on experience with, or strong aptitude and readiness to quickly ramp on, RDF/OWL, SPARQL, and Apache Jena (or comparable semantic web / graph technologies).
- Experience with complex data modeling, schema mapping, or master data management across multiple systems or applications.
- Exposure to AWS or another cloud-native platform for application delivery, including deployment, monitoring, and CI/CD.
- Ability to mentor engineers and communicate technical trade-offs to non-specialist stakeholders.
- Robust ownership, problem-solving, and collaboration skills.

- Design and build ontology models (RDF/OWL) and canonical data model entities for cross-ERP integration domains (e.g., Customer Master, Order-to-Cash, Financials).
- Develop and optimize SPARQL queries and Apache Jena-based services, including TDB2-backed stores, for production-scale semantic data access.
- Lead cross-ERP mapping design - translating disparate ERP schemas (XSD/JSON Schema and native models) into the shared canonical model, handling edge cases such as multi-tenant variants and schema drift.
- Author SHACL validation rules and data-quality checks for canonical and ontology artifacts, partnering with Quality Senior Analysts on test strategy.




- Review designs and code from Software Engineers; mentor them through the ontology and canonical modeling learning path.
- Contribute canonical/ontology artifacts that feed Data Fabric ETL and streaming pipelines, and that will underpin future GenAI/RAG use cases over Data Fabrics knowledge graphs.
- Participate in architecture reviews, present design trade-offs to product and engineering stakeholders, and help evolve governance for ontology versioning and canonical schema change management.

Infor is building a new 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.

📌 Software Engineer, Senior (Java and AWS) (Hyderabad)
🏢 Infor
📍 Hyderabad