IoT Developer - Mid Level

The IoT Developer - Smart Manufacturing is responsible for architecting, implementing, and sustaining industrial IoT integrations across manufacturing facilities to enable Smart Factory transformation. This role operates at the intersection of industrial automation and enterprise systems, connecting plant-floor equipment (PLCs, sensors, robotics, packaging lines, and scanning systems) to enterprise platforms including the Execution Operations Platform (EOP), Manufacturing Execution Systems (MES), ERP systems, and robotics execution systems. This is a hands-on, plant-facing engineering role requiring real-time problem solving during machine installations, go-lives, and commissioning events. The position directly enables production visibility, material traceability, quality validation, and operational optimization.

The IoT Developer plays a critical role in scaling standardized connectivity architecture across multiple facilities.

Key Responsibilities

1. Industrial IoT Integration & Architecture

   • Integrate PLCs, robotics, sensors, and machine controllers using MQTT, OPC-UA, REST APIs, and secure messaging protocols
   • Develop and maintain edge-to-cloud data pipelines for real-time manufacturing data
   • Design standardized machine connectivity frameworks for multi-site scalability
   • Implement structured data models for production, quality, and downtime capture
   • Ensure secure data transmission and storage aligned with IT and cybersecurity standards
   • Develop reusable integration templates to accelerate future deployments

2. Smart Factory Enablement

   • Connect Execution Operations Platform (EOP) with MES, ERPsystems, and enterprise applications
   • Enable material tracking technologies (RFID, barcode, serialization, vision systems)
   • Capture and validate real-time production, scrap, yield, and dimensional data
   • Support deployment of Control Tower and plant observability systems
   • Enable digital twin models of machines and production lines
   • Standardize event-driven data structures for enterprise reporting and analytics

3. Automation Expansion & Plant Deployments

   • Participate in Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT)
   • Validate integration reliability prior to production go-live
   • Support commissioning and startup during compressed installation windows
   • Troubleshoot PLC and machine communication during live production
   • Work directly with automation vendors, controls engineers, and plant operations teams
   • Scale successful implementations across additional facilities

4. Proactive Operational Support & Reliability

   • Monitor machine connectivity and data health across sites
   • Troubleshoot IoT communication failures and production-impacting issues
   • Improve system resilience and fault tolerance
   • Reduce downtime through early detection and rapid resolution
   • Continuously harden and optimize plant integration architecture

Preferred Qualifications

• Smart Factory or Industry 4.0 implementation experience
• Experience integrating material tracking technologies (RFID, barcode, computer vision)
• Exposure to enterprise genealogy or graph database systems (e.g., Neo4J)
• Participation in multi-site rollouts
• FAT/SAT experience during machine installations
• Experience supporting robotics or automated packaging systems

Key Competencies

• Industrial systems thinking
• Structured data modeling
• Cross-functional communication
• Calm execution under production pressure
• Root cause analysis
• Standardization mindset
• Documentation discipline