AI QA Test Automation Engineer
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Job Summary
Summary:
We are seeking an AI QA Test Automation Engineer to design develop and implement intelligent AIdriven test automation solutions leveraging AI/ML and GenAI technologies such as Microsoft Copilot and GitHub Copilot. The role focuses on improving software quality accelerating test cycles and enabling predictive and self-healing testing within a CI/CD ecosystem by leveraging Playwright frameworks.
Required Skills & Qualifications:
- 5 years in QA / Test Automation
- Strong handson experience with Playwright
- Experience with various design patterns and frameworks
- Experience in API automation (Playwright /REST Assured / Postman)
- Familiarity with CI/CD tools (Azure DevOps Jenkins GitHub etc.)
- Strong understanding of SDLC STLC and Agile methodologies
- Experience in crossbrowser and crossdevice testing
- Knowledge of defect lifecycle and test reporting
- Proficiency in Visual Studio Code (VS Code)
- Programming skills: Python / Type Script/JavaScript
- Leverage Microsoft Copilot and GitHub Copilot for:
- Accelerating test case design and documentation
- Generating automation scripts and reusable components
- Writing and optimizing test code and utilities
- Implement GenAI-based solutions for:
- Requirement Test case generation
- Automation script scaffolding
- Test data generation
- Apply ML techniques for:
- Risk-based test prioritization
- Intelligent test selection
- Defect prediction & failure analysis
- AI-assisted QA tools
- Hands-on experience or strong exposure to:
- Microsoft Copilot / GitHub Copilot
- Prompt engineering for QA use cases
- AI-assisted code and test generation
- CI/CD tools: Azure DevOps / Jenkins / GitHub Actions
- Version control: Git/ GitHub
- Cloud exposure: Azure (preferred) / AWS
- Ability to drive AI adoption in QA teams
Role & Responsibilities:
- Design and develop endtoend automation test scripts and frameworks (UI API and backend).
- Build automation scripts using:
- Playwright
- AI Powered automation tools
- Analyse automation failures and ensure timely fixes for stability and reliability
- Participate in regression cycles SIT/UAT support and production validation
- Develop self-healing automation (dynamic locators smart retries)
- Improve automation stability using AI-assisted debugging
- Enable smart reruns and flaky test detection
- Define and implement AI-driven QA strategies
- Optimize test coverage and execution efficiency
- Analyze test and defect data using AI/ML models
- Work closely with Product Development and DevOps teams
- Drive adoption of AI-powered QA practices across teams
Basic Qualifications:
- BS degree in Computer Science or related discipline or 5 years of experience as a QA resource working on multiple projects
- 4 years in QA / Test Automation
- 1 years in AI-Powered QA
Required Experience:
IC
About Company
Ecolab is the global leader in water, hygiene and energy technologies and services. Every day, we help make the world cleaner, safer and healthier – protecting people and vital resources.
