The Junior Automation Engineer is a developing subject matter expert, responsible for researching, developing, designing, and building automated systems and/or applications that are implemented to perform a variety of tasks reducing the need for human intervention in order to maximize efficiency.

We are seeking a Junior Automation Engineer with 2-3 years of hands-on experience in Automation.

Key responsibilities:

• Collaborates with internal stakeholders as well as external partners to identify
  
• Develop, configure and maintain automation scripts and tools to streamline processes.
  
• Support Integration of automation solutions into existing systems and workflows.
  
• Troubleshoot and resolve automations-related issues promptly
  
• Participate in testing, validation, and documentation of automation processes
  
• Assist in monitoring automation performance and optimizing for efficiency
  
• Stay updated with emerging automation technologies and best practices
  
• Performs any other related task as required.
  

To thrive in this role, you need to have:

• Proficiency in Linux (administration and scripting).
  
• Strong knowledge of Python or other scripting languages (e.g., Bash, Java).
  
• Familiarity with CI/CD tools (Jenkins, GitLab CI/CD, or Azure DevOps).
  
• Experience using Ansible, N8N, and Metabase.
  
• Understanding of software development lifecycle (SDLC) and automation frameworks.
  
• Good problem-solving and analytical skills.
  
• Ability to work independently and in a team environment.
  
• Strong communication and documentation skills.
  

Academic qualifications and certifications:

• Diploma or relevant certification in IT, Automation, or related field (degree advantageous but not required).
  
• 2·3 years of experience in automation engineering or similar role.
  
• Exposure to robotics, AI, or machine learning concepts is a plus.
  

Required experience:

• Experience with version control systems (Git).
  
• Familiarity with performance testing and automation pipelines.
  
• Moderate level demonstrated experience with robotics, AI and machine learning.
  
• Moderate level demonstrated project management experience.
  
• Familiarity with continuous integration and deployment (CI/CD) concepts and tools such as Jenkins, GitLab CI/CD, or Azure DevOps.
  
• Understanding of software development lifecycle (SDLC) processes and methodologies.
  
• Moderate level programming and scripting skills in languages such as Python, Java, or C#.