Automation Tool Engineer (Manufacturing & Automotive Systems)

We are looking for an Automation Tool Engineer to design and develop internal software tools automation frameworks and data platforms supporting automotive manufacturing and service operations.

This role focuses on building scalable Python-based systems integrating factory and test environments and applying automation and AI technologies to improve production efficiency quality monitoring and engineering workflows.

• Develop and maintain automation tools and internal software systems for manufacturing and service engineering.
  
• Build Python-based frameworks for data processing workflow automation and test support systems.
  
• Design and implement backend services APIs and database systems (SQL/NoSQL).
  
• Develop dashboards and automated reporting tools for production quality and operational monitoring.
  
• Integrate systems with industrial equipment and test environments via CAN OBD Serial/UART or related protocols.
  
• Support CI/CD pipelines and automation infrastructure using tools such as Jenkins or GitLab CI.
  
• Apply AI/ML or LLM-based solutions to improve defect analysis prediction and process optimization.
  
• Collaborate with QA manufacturing and engineering teams to optimize cross-functional workflows and reduce cycle time.
  
• Manage source code documentation and continuously improve system scalability and performance.
  

• Bachelors degree in Computer Science Information Technology Electronics Engineering Mechatronics or related fields.
  
• Minimum 1 year of experience in software development automation tool development or system integration.
  
• Strong proficiency in Python (mandatory).
  
• Experience with REST APIs SQL databases and Git version control.
  
• Familiarity with automation frameworks such as pytest Robot Framework or equivalent tools.
  
• Knowledge of CI/CD tools (Jenkins GitLab CI or similar) is an advantage.
  
• Understanding of industrial or automotive communication protocols (CAN OBD Serial/UART) is a plus.
  
• Exposure to manufacturing systems (MES) factory automation or automotive service systems is preferred.
  
• Interest or experience in AI/ML or LLM-based applications is highly desirable.