Software Engineer, Senior (Java and AWS)

Infor Inc.; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Infor Inc. in Hyderabad is seeking a Senior Software Engineer to design and build core semantic layer components, including ontology models and SPARQL/Jena-based services, while mentoring teammates.

You will translate cross-ERP mappings, validate data with SHACL, and collaborate with architects to evolve Data Fabric and GenAI readiness.

Qualifications

• 6+ years in enterprise software, data integration environments.
• 4+ years Java with Spring Boot, REST APIs, and SQL.
• Hands-on with RDF/OWL, SPARQL, Apache Jena (or equivalent).
• Experience with complex data modeling, schema mapping across systems.
• Exposure to AWS or cloud-native platforms for delivery, monitoring, CI/CD.
• Ability to mentor engineers and communicate technical trade-offs.

Responsibilities

• Design and build ontology models (RDF/OWL) and canonical data model entities for cross-ERP integration domains.
• Develop and optimize SPARQL queries and Apache Jena-based services, including TDB2-backed stores.
• Lead cross-ERP mapping design—translating disparate ERP schemas into a shared model.
• Author SHACL validation rules and data-quality checks for canonical and ontology artifacts.
• Review designs and code; mentor engineers through ontology and canonical modeling learning path.
• Contribute canonical/ontology artifacts for Data Fabric ETL and GenAI/RAG use cases.
• Participate in architecture reviews and evolve governance for ontology versioning.

Skills

Java development

Spring Boot

REST APIs

SQL

Data modeling

Mentoring

Ownership

Communication

Tools

Apache Jena

SPARQL

RDF/OWL

SHACL

Protégé

Fuseki

AWS

Job description

Software Engineer, Senior (Java and AWS)

Department: Development

Employment Type: Full Time

Location: Hyderabad

Description

Infor is building a new Data Fabric capability that bridges structural data gaps across Infor's 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.

A Typical Day in the Life Includes:

• 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 Fabric's 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.

Basic Qualifications:

• 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.
• Strong ownership, problem‑solving, and collaboration skills.

Preferred Qualifications:

• Prior work on knowledge graphs, ontology engineering, or semantic data platforms in an enterprise or ERP context.
• Experience with SHACL, Protégé, or Fuseki.
• Familiarity with multi‑tenant SaaS architecture and its implications for canonical/semantic data design.
• Exposure to GenAI/LLM patterns such as retrieval‑augmented generation (RAG) over knowledge graphs.