About The Position

The Operational Technology (OT) Systems Engineer designs, deploys, and secures connected OT systems across manufacturing facilities. The role bridges plant-floor equipment, enterprise applications, and advanced analytics platforms, delivering initiatives involving machine connectivity, industrial IoT, cloud infrastructure, CMMS integrations, and OT cybersecurity. It advances the connected factory strategy through real-time machine monitoring, predictive maintenance, secure data integration, and AI-driven operational intelligence. The engineer partners with Operations, Maintenance, Engineering, IT, Cybersecurity, Quality, and Supply Chain teams to ensure manufacturing systems are secure, connected, scalable, and aligned with business objectives. The position also supports OT-focused AWS environments and secure OT-to-cloud architectures, including cloud infrastructure, networking, monitoring, backup, and disaster recovery. It integrates manufacturing equipment and sensors with CMMS platforms, supports automated work order generation and predictive maintenance, and contributes to OT security controls, network segmentation, remote access, vulnerability management, incident response, and continuity planning. The employee is regularly required to talk, hear, use their hands to manipulate objects or controls, stand, and walk. The role may occasionally involve stooping, bending, reaching above the shoulders, and lifting up to 25 pounds. Work includes frequent and continuous computer-based tasks requiring periods of sitting, close vision, and focus adjustment. Occasional travel is required.

Requirements

  • Bachelor’s degree in engineering, Computer Science, Information Technology, Industrial Technology, or a related technical field; an equivalent combination of education and relevant manufacturing OT experience may be considered.
  • At least 5 years of experience supporting Operational Technology (OT), cloud infrastructure, manufacturing systems, or Industrial IoT environments.
  • Experience with industrial control systems, including PLCs, HMIs, SCADA, and machine communications.
  • Experience supporting manufacturing networks and industrial connectivity solutions.
  • Experience building and supporting secure cloud compute for OT environments.
  • Experience integrating equipment, sensors, and manufacturing systems using industrial communication protocols.
  • Experience collaborating across Operations, Maintenance, Engineering, IT, and Cybersecurity teams.
  • Working knowledge of PLC-based manufacturing systems.
  • Knowledge of industrial networking, including Ethernet/IP, Profinet, and Modbus TCP.
  • Knowledge of OPC-UA and/or MQTT communications.
  • Knowledge of manufacturing data collection systems.

Nice To Haves

  • Experience with AWS IoT, AWS SiteWise, Greengrass, S3, Lambda, or similar cloud platforms.
  • Knowledge of OT cybersecurity frameworks such as ISA/IEC-62443 or NIST.
  • Knowledge of predictive maintenance, condition monitoring, or reliability engineering programs.
  • Knowledge of MES, ERP, historian, or industrial data platform integrations.

Responsibilities

  • Design and implement connectivity solutions for manufacturing equipment, test systems, and facility assets.
  • Standardize machine data collection using OPC-UA, MQTT, Modbus TCP, EtherNet/IP, Profinet, and other industrial protocols.
  • Connect production assets to enterprise platforms, including MES, CMMS, ERP, SCADA, historian, and cloud systems.
  • Develop and maintain machine data architectures and asset models.
  • Establish standards for edge computing and industrial gateway deployments.
  • Drive enterprise-wide visibility through real-time machine monitoring and operational dashboards.
  • Design and support OT-focused AWS environments and secure OT-to-cloud architectures.
  • Manage cloud infrastructure, networking, monitoring, backup, and disaster recovery strategies.
  • Integrate manufacturing equipment and sensors with CMMS platforms.
  • Enable automated work order generation from machine condition monitoring systems.
  • Develop predictive maintenance capabilities using industrial analytics and machine learning.
  • Support maintenance teams through equipment health monitoring and reliability analytics.
  • Support OT cybersecurity controls aligned with industry standards.
  • Support OT network segmentation and secure remote-access solutions.
  • Manage vulnerability assessments, patching strategies, and access control systems.
  • Participate in incident response and forensic investigations involving industrial systems.
  • Develop OT disaster recovery and business continuity plans.
  • Collaborate with Operations, Maintenance, Engineering, IT, Cybersecurity, Quality, and Supply Chain teams.
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