Automation Test Engineer

QA & Automation

• QA experience, project overview
• Selenium, Playwright, Python, PyTest, Robot Framework
• Framework design, POM, waits, stale element handling

Testing Fundamentals

• STLC phases
• Functional test coverage measurement
• RCA for production defects
• Smoke vs Sanity vs Functional vs Regression testing
• Different testing types (Integration, Performance, Security, UAT, etc.)

Performance & Security

• Load, Stress, Endurance testing
• Capacity planning and hardware sizing
• Security testing basics (Auth, Authorization, SQL Injection, XSS)
• Security validation in lower environments

AI in Testing

• Using AI for test case generation and automation
• Measuring coverage of AI-generated tests
• Prompt engineering and context setting
• Risks and governance of AI usage

File Transfer Testing Scenario

• Positive, negative, and boundary test cases
• Maximum Concurrency validation
• Stability Seconds validation
• Concurrent file transfer testing
• Automation approach using Python/PyTest/Boto3

API & UI Testing

• API vs UI validation strategy
• Response validation beyond status codes
• PUT vs PATCH
• Authentication handling
• Contract testing
• Troubleshooting environment-specific API failures

Database & Unix

• Linux/Unix commands and log monitoring
• Port validation
• Database backup concepts
• TRUNCATE vs DROP
• pg_dump vs pg_basebackup
• Data reconciliation and investigation techniques

Python Concepts

• List, Tuple, Set, Dictionary usage
• Shallow vs Deep Copy
• Generators
• Exception handling
• SQL injection prevention
• Efficient validation of large datasets

Troubleshooting Scenarios

• Missing UI data (Database vs UI issue)
• Date-filtered reports returning incorrect results
• Production defect investigation and prevention
• Intermittent automation test failures