Automation QA Engineer
Role details
Job location
Tech stack
Job description
The primary focus of this role is driving cutting-edge UI and backend test automation using Playwright (TypeScript/JavaScript). While the core of your daily work will center on building robust TypeScript-based automation suites, you will also leverage AI-assisted testing tools and advanced SQL to validate complex data workflows, ensuring comprehensive quality across both application layers and data pipelines., * Playwright Framework Ownership: Lead the design, execution, and maintenance of scalable automation frameworks using Playwright (TypeScript/JavaScript) for both UI and backend applications.
- Clean Code Practices: Write, review, and optimize high-quality automated test scripts, establishing best practices for the team around framework maintainability and reusability.
- Pipeline Automation: Own the integration of automated Playwright regression suites into active CI/CD pipelines to ensure rapid, stable deployments.
- End-to-End Data Verification: Utilize SQL and automated checks to validate data transformations and integrity within core database environments and data models (such as Microsoft Fabric).
- AI Tool Implementation: Actively leverage AI tools (LLM-assisted generation, self-healing locators) to increase automation velocity, minimize script maintenance, and reduce test flakiness.
- Quality Metrics & Reporting: Monitor and communicate actionable quality KPIs-such as automation coverage, defect escape rates, and flakiness metrics-directly to stakeholders and engineering leadership.
Requirements
- Playwright Mastery: Extensive hands-on experience architecting, scaling, and maintaining automation frameworks using Playwright.
- TypeScript & JavaScript: Expert-level coding skills in TypeScript and/or JavaScript, with a strong emphasis on writing clean, reusable, and maintainable asynchronous test code.
- Advanced Automation Concepts: Deep understanding of modern locator strategies, including self-healing locators and Playwright MCP concepts to combat test flakiness.
- API Testing: Proven expertise in automated web services and REST API testing integrated directly into your automation frameworks, alongside manual verification using Postman.
Data Validation & Secondary Languages
- Database Testing: Proficiency in Advanced SQL for backend data validation, source-to-target mapping, and cross-system data reconciliation.
- Data Ecosystems: Familiarity with data warehouse environments and analytics platforms, specifically validating data pipelines and semantic models within Microsoft Fabric.
- Cross-Functional Languages: Capability to work across multi-language codebases, with secondary experience or exposure to Python (Pytest) and Java (TestNG) for data validation and legacy frameworks.
DevOps & Agile Workflows
- CI/CD Integration: Experience seamlessly embedding Playwright test suites into continuous integration and deployment pipelines using GitHub Actions, Jenkins, or Azure DevOps.
- Version Control: Mastery of GitHub branching strategies, including feature branching, pull requests, and peer code reviews.
- Project Management: Experience operating within an Agile/Scrum environment using JIRA and JIRA Xray for test management.
AI-Assisted Testing & Innovation
- AI Tooling: Experience using AI-augmented engineering tools like GitHub Copilot (Agent Mode) and Copilot Studio to accelerate script development.
- Next-Gen QA: Passion for introducing innovative testing strategies, such as AI-driven test generation, anomaly detection, and predictive analytics.
Domain & Professional Background
- 8+ years of experience to lead the architecture, development, and scaling of our end-to-end automation frameworks.
- Strong analytical mindset with the ability to troubleshoot complex system interactions and data mismatches.
- Bachelor's or higher degree in Computer Science, or a related technical field.