Automation Engineer

Job Responsibilities:

• Support the full lifecycle of site automation systems (PLC, SCADA, HMI)—design, configuration, programming, testing, and sustaining support.
• Develop and maintain PLC and HMI/SCADA applications (Rockwell/Siemens or equivalent; iFIX/Wonderware/FactoryTalk/Ignition/WinCC).
• Help define automation architectures across control, safety, and industrial IT layers; integrate with historians, MES, BMS, CMMS, ERP, and related systems.
• Design and support industrial networks and connectivity (EtherNet/IP, Profinet, Modbus TCP, OPC DA/UA), partnering with IT on segmentation, backups, recovery, and hardening.
• Apply digital/analytics tools (including AI-enabled monitoring and predictive maintenance where applicable) to improve reliability and operational performance.
• Participate in FAT/SAT, commissioning, qualification, and validation activities in regulated (GxP) environments.
• Troubleshoot controls, software, and network issues to minimize downtime; support root-cause analysis and corrective actions.
• Create and maintain standards and documentation (coding guidelines, change/lifecycle practices, architecture/network diagrams, SOPs, and system records).
• Support capital projects—scope definition, vendor coordination, technical reviews, and acceptance—while ensuring compliance with GMP, data integrity, safety, and cybersecurity requirements.

Skills:

• Controls platforms: PLC programming/troubleshooting (Allen-Bradley ControlLogix/CompactLogix; Siemens S7/TIA Portal) and SCADA/HMI development (iFIX, Wonderware InTouch, FactoryTalk View, Ignition, WinCC). – On site test will be required.
• OT/IT systems: industrial IT and integration with servers/virtualization (Windows Server, VMware/Hyper-V) plus databases/historians (SQL Server, OSIsoft PI, or equivalent).
• Industrial networking & protocols: EtherNet/IP, Profinet, Modbus (TCP), OPC DA/UA.
• Automation cybersecurity fundamentals: firewalls/segmentation concepts, access control, patching, backups, and recovery practices.
• Digital/analytics: ability to use modern digital tools, analytics platforms, and AI-enabled monitoring for asset performance and predictive insights.
• Robotics & advanced automation (as applicable): industrial robotics integration and safety (interlocks, E-stops, safety PLCs/networks), vision systems (Cognex/Keyence), and motion control (servos/VFDs/coordinated motion), including working with integrators and URS/FDS/SDS documentation for robotic cells.

Education/Experience:

• Master’s degree in Automation Engineering, Computer Engineering, or related field. Master’s degree preferred.