Hiring: Sr. OT System Integration Engineer Company: Challenge Manufacturing Location: Kansas City, MO Job Posted Time: 2026-09-10 14:23:42 Target Skills & Keywords : Agile, Manufacturing Execution Systems, PLC, Project Management, SCADA, Systems Integration About the job Experience: •3+ years’ experience in industrial OT system integration, SCADA, or IIoT deployments. •5+ years’ experience in OT/automation system integration within automotive OEMs or Tier 1 suppliers. Required Skills: •Lead design, implementation, and optimization of Ignition SCADA/IIoT platforms across multiple plants. •Serve as the primary subject matter expert for Ignition, integrating MES, SCADA, IIoT sensors, robotics, and PLC/HMI systems. •Establish cross-plant standardization of dashboards, KPIs, alarms, reports, and system configurations. •Oversee multi-plant deployment projects for MES/SCADA, IIoT, robotics, and automation systems. •Validate, test, and commission system interfaces, ensuring accurate and reliable data exchange. •Partner cross-functionally with IT to ensure secure OT/IT connectivity, including adherence to cybersecurity standards. •Monitor integration KPIs such as uptime, data accuracy, latency, and cross-site consistency. •Develop SOPs, documentation, and best practices for standardized Ignition and OT deployment. Qualifications: •Associates degree in Electrical, Mechanical, Mechatronics, Computer, or Industrial Engineering. •Expert-level experience with Ignition SCADA/IIoT software, including dashboard development, scripting, alarms, and data integration. •Applied hands-on capability in MES, SCADA, IIoT, PLC/HMI systems, and robotics integration (Fanuc, ABB, Kawasaki, Rockwell). •Proven experience in multi-plant standardization and deployment of OT systems. •Knowledge of industrial protocols, OT/IT convergence, and cybersecurity standards. •Strong analytical, problem-solving, and communication skills. •Demonstrated capacity to lead projects, mentor engineers, and collaborate with cross-functional teams. •Bachelor’s degree in Data Analytics, Industrial Engineering, Computer Science, or related field. •Operational familiarity with AI/ML applications for predictive maintenance and operational optimization. •Strong project management skills (PMP, Agile) for multi-site initiatives. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!