Digital Manufacturing Engineer

Key Responsibilities

• Application Development
  • Design and develop responsive industrial web applications using Ignition Perspective and supporting web technologies
  • Extend Ignition’s out-of-the-box components using JavaScript, CSS, and Python scripting to meet complex business and operational requirements
  • Build modular, maintainable application architectures that support long-term scalability and reuse
• Data & Systems Integration
  • Integrate applications with industrial and enterprise systems including:
    • SQL databases
    • SAP, Sharepoint, Active Directory
    • OPC and historian data sources (Kepware, Canary, etc.)
    • REST APIs
  • Design efficient data models and queries optimized for real-time operational use
• Manufacturing Collaboration
  • Work directly with operations, engineers, IT, business stakeholders, and business analysts to translate manufacturing workflows into digital solutions
  • Design interfaces and workflows optimized for industrial users operating in high-tempo production environments
  • Help develop and extend dev team standards and tools to improve team performance
• Quality & Reliability
  • Implement robust error handling, logging, and diagnostics
  • Ensure solutions meet performance, security, reliability, and compliance requirements
  • Produce clear technical documentation and solution architecture diagrams

Mandatory Skills and Skill Proficiencies

• Core Technical Strengths
  • Strong experience with web UI development concepts:
    • HTML5
    • CSS
    • JavaScript
    • Responsive design and modern UI patterns
  • Proficiency in Python scripting for application logic and automation
  • Solid experience working with SQL databases and relational data models
  • Experience integrating external systems using REST APIs or web services
  • Ability to design maintainable, modular software — not just single-purpose screens
• Manufacturing & Industrial Aptitude
  • Experience with manufacturing, industrial automation, or operational systems
  • Ability to understand production workflows, machine data, and real-time operational constraints
  • Familiarity with concepts such as MES, SCADA, HMI, OPC, historians, or IIoT is a plus (not mandatory)
• Education
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Equivalent practical experience will be considered

Optional Skills and Skill Proficiencies

• Bonus Experience (Nice to Have)
  • Prior work with Ignition, Wonderware, Mendix, or other similar industrial/low-code platforms
  • Experience with Kepware, Canary, or industrial data pipelines
  • Strong working knowledge of discrete manufacturing environments (aerospace, automotive, shipbuilding, heavy industry)
  • Working familiarity with SAP integrations
  • Knowledge of cloud or hybrid architecture (AWS Industrial Solutions Framework)