Automation Software Engineer II

Job Description The Software Engineer II designs, builds, and supports software applications that enable and improve manufacturing operations, quality systems, and automation performance. This role contributes hands-on code across backend services, data integrations, and user-facing interfaces (UI), participating in the full software development lifecycle including requirements, design, implementation, testing, deployment, and maintenance. The Software Engineer II collaborates with cross-functional teams (Production Engineering, Maintenance, Quality, Controls, and IT) to deliver reliable, scalable solutions that support production uptime, data visibility, and continuous improvement. The role also supports deployed systems through troubleshooting, monitoring, and iterative updates. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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• Bachelor's degree in computer science, Software Engineering, Computer Engineering, or related field (or equivalent experience).
• 3-5 years of professional software development experience (or equivalent combined development + manufacturing systems experience).
• Experience developing and maintaining production-grade applications (web, desktop, or industrial software).
• Experience in manufacturing, automation, or industrial environments.
• Experience with vision systems and image processing tools (NI Vision, OpenCV, Cognex/Keyence APIs, etc.).
• Exposure to robotics integration concepts (basic handshaking, job selection, status feedback).
• Familiarity with PLC data exchange concepts (OPC UA, EtherNet/IP messaging, Modbus TCP, MQTT, etc.).
• AI technology knowledge is a plus
• Practical experience in image processing and vision systems
• Network communications knowledge is a plus
• GUI development is a plus.