Senior QA Automation Engineer

Senior QA Automation Engineer

We are seeking a skilled AI + SQE Automation Engineer to drive the next generation of quality engineering through AI-assisted testing, automation, and continuous assurance practices. The ideal candidate will combine strong functional testing and automation expertise with hands-on experience using AI tools to accelerate test design, script development, and quality reporting. This role requires a quality engineering mindset focused on risk reduction, productivity improvement, and intelligent testing throughout the SDLC.

Key Responsibilities

• Analyze business requirements, user stories, APIs, and technical specifications to develop comprehensive test strategies.
• Design, develop, and maintain automation frameworks for UI, API, integration, and end-to-end testing.
• Leverage AI tools to generate and optimize test cases, test data, automation scripts, and test documentation.
• Perform AI-assisted test impact analysis to identify affected applications, APIs, user stories, and regression scope.
• Build reusable automation assets and improve test execution efficiency through AI-assisted development.
• Validate data quality, business rules, controls, and compliance requirements.
• Execute and support continuous testing within CI/CD pipelines.
• Analyze application telemetry, logs, and production signals to identify quality risks and testing gaps.
• Participate in dependency analysis across code repositories, services, APIs, and downstream applications.
• Validate and govern AI-generated outputs using human-in-the-loop review practices.

Required Qualifications

Quality Engineering:

• Functional Testing
• Integration Testing
• Regression Testing
• API Testing
• Risk-Based Testing
• Agile/Scrum Methodology
• Defect Management and Root Cause Analysis

Automation:

• Selenium, Playwright, or Cypress
• Cucumber BDD
• TestNG/JUnit
• REST Assured or equivalent API automation tools
• Automation Framework Design and Maintenance
• Test Data Management

AI & Copilot Skills:

• GitHub Copilot
• Microsoft Copilot
• Prompt Engineering
• AI-Assisted Test Case Generation
• AI-Assisted Automation Development
• AI-Driven Defect Analysis
• AI-Based Regression Optimization
• Human-in-the-Loop Validation
• Responsible AI Practices

Technical Skills:

• Java, JavaScript, or Python
• SQL and Data Validation
• Git/Bitbucket
• Jenkins, GitHub Actions, Azure DevOps
• API Testing Tools
• Log Analysis and Monitoring Tools
• Agile tools (Jira)
• DevOps

Preferred Qualifications

• Test Impact Analysis
• Dependency Graph Analysis
• AI-Powered Test Maintenance
• Self-Healing Automation Frameworks
• Observability and Telemetry Analysis
• OpenTelemetry, Splunk, or equivalent monitoring platforms
• LLM and Agent-Based Testing
• Cloud and Container Fundamentals
• Kubernetes and DevOps Concepts
• Data Quality Validation and Governance