Software Engineer, Senior
Key Skills for This Role
Full Job Posting
A Typical Day in the Life Includes:
Designing and implementing knowledge graph solutions for manufacturing operations.
Developing semantic models that represent manufacturing assets, equipment, materials, orders, processes, people, and operational events.
Integrating MES, IoT, machine, and enterprise data sources into connected operational models.
Building services and APIs that expose contextual manufacturing information for AI-enabled applications and workflows.
Working closely with the Principal AI Lead to define ontology strategies, semantic standards, and modelling approaches.
Designing scalable architectures for ingesting, processing, and modelling industrial IoT and telemetry data.
Supporting AI reasoning, diagnostics, automation, and decision-support scenarios through rich operational context.
Developing solutions that support real-time and near real-time operational intelligence initiatives.
Evaluating emerging technologies in knowledge graphs, semantic modelling, industrial AI, and operational intelligence.
Contributing to architecture discussions, technical standards, and long-term platform strategy.
Basic Qualifications:
- Demonstrated background of software engineering experience delivering enterprise applications or platforms.
- Strong hands-on software development experience using C# and .NET.
- Experience designing and implementing enterprise data models and integration solutions.
- Experience working with graph databases, knowledge graph technologies, or semantic modelling platforms.
- Experience developing APIs and services that expose complex business and operational data.
- Experience integrating multiple enterprise and operational systems into unified data models.
- Strong understanding of relational databases, data modelling, and information architecture principles.
- Experience working with cloud-native development and modern SaaS architectures.
- Understanding of ontology design, semantic modelling, knowledge representation, or domain-driven design concepts.
- Strong understanding of software architecture, scalability, reliability, and observability principles.
- Demonstrated ability to solve complex technical problems and work independently.
- Excellent communication and stakeholder management skills.
Preferred Qualifications:
- Experience with Industrial IoT platforms, telemetry systems, or machine connectivity solutions.
- Experience within Manufacturing, MES, ERP, Industrial Automation, or Operational Technology environments.
- Experience building semantic models for AI applications.
- Experience with vector databases, embeddings, knowledge retrieval, or AI reasoning solutions.
- Experience processing event streams, operational data, or real-time telemetry.
- Experience working with OPC UA, MQTT, industrial integration technologies, or manufacturing data standards.
- Experience contributing to technical architecture and engineering standards.
- Experience mentoring engineers or leading technical initiatives.
About Infor
Global provider of industry-specific enterprise cloud software.
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