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Technical Lead - MES Solutions

RoviSys
Aurora, OH Full Time
POSTED ON 9/18/2025
AVAILABLE BEFORE 11/11/2025
Overview:
RoviSys is seeking an experienced engineering professional to lead the delivery of holistic MES solutions across industries, including Production Management, Directed Work, Quality, Traceability, Maintenance Management, and Performance. This role goes beyond execution: you will help shape the future of MES by applying AI, DevOps principles, and next-generation requirement definition strategies, strengthening our DxOps Transformation service offerings.

We work with leading manufacturers in semiconductors, life sciences, discrete manufacturing, consumer goods, and specialty chemicals, industries at the forefront of technological progress. Our mission is to help these customers produce valuable products more efficiently, more reliably, and with greater quality.

Unlike legacy projects that rely on lengthy, monolithic specifications, our approach emphasizes iterative requirement definition. We collaborate directly with customers, blending proven MES frameworks with modern discovery and refinement techniques that allow for flexibility, faster validation, and more resilient deployments.

If you are motivated by both technical depth and innovation, this is an opportunity to influence how global manufacturers adopt and sustain digital execution.
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
  • Lead development of MES platform extensions using compatible programming languages
  • 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
    • T-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

Why Join Us?
At RoviSys, you won’t just implement MES, you’ll help redefine how manufacturers achieve digital transformation. You’ll collaborate with industry leaders, working at the intersection of proven industrial platforms and cutting-edge technologies. You’ll help advance strategies that move beyond rigid specifications toward adaptive, AI-enabled solutions. This is a chance to lead, to innovate, and to make a lasting impact on how MES projects are executed worldwide

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