Python Automation Engineer

Technology Stack & Environment:

• Python
• AWS & Azure Cloud Platforms
• SAS
• Windows & Linux Operating Systems

Compensation: ₹10–15 LPA

Key Responsibilities:

• Automation System Development:
  • Architect, develop, and monitor robust automation systems for diverse applications and environments.
• Selenium Scripting:
  • Build advanced download/upload automation scripts using Selenium (including handling shadow DOM).
• GUI Automation:
  • Leverage PyAutoGUI to automate graphical interfaces on Windows and Linux.
• Project Management:
  • Manage and prioritize multiple projects simultaneously, ensuring scalability and reliability.
• Error Handling:
  • Implement comprehensive error handling and fail-safe mechanisms in automation workflows.
• Full Development Cycle Support:
  • Support all phases of the development lifecycle, including troubleshooting and assisting current systems.
• Security & Data Protection:
  • Ensure solutions align with best practices for data protection and application security.
• Collaboration & Assistance:
  • Assist teams with maintaining and optimizing current automation systems.

Qualifications:

• Minimum of 2 years’ hands-on experience in Python automation.
• Proficient in Python programming with demonstrated automation project experience.
• Practical familiarity with both Windows and Linux fundamentals.
• Experience with PyAutoGUI for GUI automation and manipulation.
• Deep knowledge of Selenium for web automation (shadow DOM handling preferred).
• Proven debugging and troubleshooting skills.
• Experience with multi-process architecture for scalable automation.
• Solid understanding of cloud environments (AWS, Azure) and SAS.
• Exposure to code versioning tools such as Git or SVN.
• Ability to multitask and manage competing priorities under pressure.
• Strong scale-up mindset and an aptitude for tackling complex coding challenges.
• Demonstrated passion for programming, learning, and professional growth.
• Awareness of application security and data protection features.

Resources for Successful Preparation:

1. Python Automation & Selenium
   • Python Selenium Documentation
   • PyAutoGUI Official Documentation
   • Shadow DOM Handling with Selenium
2. Cloud Fundamentals
   • AWS Getting Started
   • Azure Documentation
3. Debugging & Troubleshooting
   • Python Debugging Techniques
4. Code Versioning & Collaboration
   • Git Handbook
   • SVN Tutorial
5. Security & Data Protection
   • OWASP Python Security
   • Best Practices for Data Protection

Interview Preparation Tips:

• Prepare to showcase samples of Selenium scripts (including file handling, shadow DOM solutions, and error handling).
• Demonstrate PyAutoGUI automation in practical GUI scenarios.
• Be ready to discuss multi-process design and performance optimization in automation projects.
• Highlight experience managing multiple priorities and scaling systems for growth.
• Emphasize your cloud platform experience (AWS, Azure) and security awareness.

Join our team as a Python Automation Engineer to lead innovation in automation scalability, reliability, and performance!