Description

Key Responsibilities

• Architect and implement scalable Python-based automation frameworks for web, API, and backend systems.
• Utilize AI development tools (GitHub Copilot, Cursor, Windsurf, etc.) to improve automation script efficiency and maintainability.
• Integrate AI-driven testing for self-healing test scripts, intelligent failure analysis, and dynamic test selection.
• Develop reusable components and automation accelerators to enhance speed and quality of test coverage.
• Collaborate with cross-functional teams to implement AI-assisted CI/CD pipelines.
• Lead POCs for AI-powered automation solutions and evaluate their adoption feasibility.
• Mentor engineers in AI-assisted coding and intelligent test design techniques.
• Continuously explore and integrate new AI/ML-based testing tools and frameworks into the automation ecosystem.

Technical Skills

Core Automation:

• Expert in Python, with experience in Pytest, Robot Framework/BDD framework.
• Strong understanding of test architecture, reusable framework design, and data-driven testing.
• Proficient in API testing using Requests, Postman, or REST-assured (Python equivalent).

AI in Automation:

• Hands-on experience with GitHub Copilot, Cursor, or Windsurf for code generation and automation enhancement.
• Experience implementing AI-driven automation techniques such as:
  • Self-healing test cases
  • AI-based test case generation and impact analysis
  • Defect prediction and failure triaging
• Familiarity with AI/ML libraries (Scikit-learn, TensorFlow, or OpenAI APIs) for custom AI integration.
• Knowledge of NLP-based test generation and model-assisted QA workflows.

Networking (Basic):

• Understanding of IP, DNS, HTTP/HTTPS, routing, and API connectivity testing.
• Exposure to validating features that involve network or device communication

Key Skills

Education

Any Graduate