Senior Developer_Semantic Web Technologies & KnowledgeGraph

Join our global, high-performing engineering team as a Backend Engineer. You will be at the heart of the Process-Tools organization, driving the evolution of our new central engineering toolchain. This role is crucial for our 'Elefanto' team where you will build the data backbone that connects disparate tools like Jira, Codebeamer, and Splunk into a unified, intelligent system.

Responsibilities

Architect and Develop Backend Solutions: Design, build, and maintain robust, scalable backend services using Java and Python to power our 'Elefanto' knowledge graph platform and enhance integrations with tools like Jira, Codebeamer, and Splunk; Drive Data Integration & Streaming: Engineer high-performance data pipelines using Apache Kafka. Implement and optimize producers and consumers to ensure reliable, real-time data flow that underpins our entire tool ecosystem; Master Semantic Web Technologies: Utilize your expertise in SPARQL, GraphQL, and RML to create sophisticated data models, mappings, and APIs. You will be responsible for transforming data from various sources into our central, tool-agnostic ontology; Foster Global Collaboration & Agile Excellence: Partner closely with our development team in Germany and stakeholders like Process Architects to define requirements, design innovative features, and ensure solutions meet concrete business needs; Champion Code Quality and Ownership: Uphold the highest standards by actively participating in peer code reviews and taking end-to-end responsibility for the quality, maintenance, and support of your code

Requirements

B.E / B.Tech / MCA / M.Sc; Bachelor's degree in Computer Science, Software Engineering, or a related technical field; 3+ years of professional experience in designing and developing complex backend applications, with a strong portfolio in Java; Proficiency in Python for backend development; Hands-on experience with Apache Kafka or a similar message bus, with a solid understanding of event-driven architecture; Demonstrable experience or strong theoretical knowledge of Knowledge Graphs and related technologies (SPARQL, GraphQL, RML); Strong sense of ownership and ability to independently troubleshoot complex technical challenges and deliver reliable solutions; Excellent English communication skills and proven ability to thrive in a collaborative, agile, and globally distributed team environment

Nice to have

Deep understanding of the APIs and architectures of tools like Jira, Codebeamer, or IBM ETM; Experience or a keen interest in Large Language Models (LLMs) prompt engineering and agentic workflows