IT/OT Infrastructure Engineer

• Define and maintain L2-to-L3 connectivity standards across PLC, DCS, SCADA, MES, robotics, laboratory instruments, and other manufacturing equipment.
• Develop reference architectures and integration patterns for industrial equipment and manufacturing systems.
• Establish UNS information models, including namespace hierarchy, topic naming conventions, payload structures, and ISA-95/ISA-88 alignment.
• Define standards for data quality, timestamping, event-based data, edge buffering, and store-and-forward mechanisms.
• Support UNS platform implementation, including broker architecture, connectors, onboarding, and governance.
• Define integration processes and standards for MES, LIMS, ERP, historians, and analytics platforms.
• Develop technical documentation, architecture standards, design templates, URS/FS specifications, and testing protocols.
• Review technical designs, ensure compliance with architecture standards, and provide technical guidance to engineering teams and vendors.
• Collaborate with OT, IT, cybersecurity, automation, quality, and validation teams.
• Ensure compliance with GxP, ALCOA+, CSV/CSA, IEC 62443, and Purdue Model security principles.
• Provide technical leadership, mentoring, and guidance to engineers and system integrators.

• Strong experience in OT/IT manufacturing systems integration across L1-L4.
• Good understanding of ISA-95 and manufacturing system architecture.
• Hands-on knowledge of industrial communication protocols:
• OPC UA, MQTT, Sparkplug B
• Modbus, PROFINET, PROFIBUS
• EtherNet/IP and RS-232/serial communication.
• Experience integrating MES and/or LIMS platforms.
• Practical knowledge of PLC, DCS, and SCADA environments.
• Experience defining technical standards, integration frameworks, and reference architectures.
• Strong knowledge of industrial data modelling, naming conventions, information hierarchies, and data contextualisation.
• Excellent stakeholder management, communication, and technical documentation skills.

Desirable Skills & Experience

• Experience implementing Unified Namespace (UNS) architectures.
• Exposure to platforms such as HiveMQ, EMQX, Ignition, HighByte, or Kafka.
• Knowledge of Industrial DataOps and edge computing platforms.
• Experience integrating robotics, AGVs, and AMRs.
• Familiarity with laboratory integration standards such as SiLA 2 and AnIML.
• Understanding of historians, data lakes, cloud platforms, and industrial analytics architectures.
• Knowledge of ISA-88, IEC 62443, and GAMP 5.
• Degree in Engineering, Automation, Computer Science, or a related discipline, or equivalent practical experience.