Automation QA Engineer

Automation QA Engineer

Location: Charlotte, NC (2 Days a week onsite)

Duration : 18 months

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.

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.

Deep Chand