Technical Lead - MES Solutions

Responsibilities

• Partner with customers and RoviSys functional analysts to define functional requirements using modern iterative approaches
• Apply modern software engineering practices (CI/CD, infrastructure as code, automated testing) to manage global, large-scale MES deployments
• Design, configure, commission, and qualify MES solutions across industries and processes
• Create and maintain clear documentation describing solution design and implementation
• Provide mentorship and leadership to less experienced engineers, fostering a culture of technical growth and innovation
• Break down work into technical tasks consumable by our developers and configurators and oversee task completion
• Travel to customer sites to perform requirement gathering, deployment, and post-deployment support
• Actively contribute to the evolution of our DxOps Transformation service offerings, shaping best practices across the broader RoviSys organization
• Explore and apply emerging technologies, including frontier agentic AI and LLM-based automation, to improve MES efficiency, quality, and scalability

Qualifications

• 4+ years of experience in MES, industrial automation, or related software engineering fields
• Strong competency in object-oriented programming concepts and data integration
• Hands-on implementation experience in one or more MES platforms, including: Connectivity to shop floor data sources and historians, Integration with enterprise systems such as ERP and PLM, SQL query and stored procedure development, Client display and web report configuration, Modern web-based UI configuration and deployment
• Training certifications in one or more MES platforms, or the skillset to achieve them quickly
• Platforms of focus currently include Parsec TrakSYS, Critical Manufacturing MES, GE Vernova Proficy, Aveva, Ignition, and Apprentice Tempo. Candidates with experience in one or more of these platforms will be prioritized.
• Ability to integrate new software modules with existing systems
• Background in systems (controls) or software engineering
• Bachelor’s Degree in an engineering or software development field
• Demonstrated adaptability and curiosity to explore emerging approaches such as AI, low-code/no-code integration, and iterative requirement definition