Automation QA Engineer (Playwright/Typescript)
Job Summary
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.
Responsibilities
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.
Required Skills & Qualifications
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.