Automation QA

Job Description

We are looking for a highly experienced and detail-oriented Automation QA with strong expertise in automation testing and solid knowledge in manual testing. This role is crucial in ensuring the quality of both frontend (UI/Portal) and backend APIs, with a focus on designing robust automation frameworks and leveraging modern tools like GenAI/Copilot to accelerate test development.

The ideal candidate also possesses a good understanding of system architecture and databases to effectively validate complex systems end-to-end.

Key Responsibilities

• Design, implement, and maintain scalable test automation frameworks for UI and backend API testing.

• Write and execute comprehensive test cases for both manual and automated testing.

• Perform end-to-end testing for UI-based features across different platforms.

• Conduct functional, regression, integration, and verification tests in pre-production and production environments.

• Validate data flow and data integrity across systems by working with databases and backend services.

• Collaborate with developers, DevOps, and product teams to ensure high-quality releases.

• Utilize GenAI tools (e.g., GitHub Copilot) to streamline and accelerate the creation of automated test scripts.

• Identify, document, and track bugs, and ensure thorough follow-up on resolution.

• Contribute to test strategy discussions by providing insights based on system architecture and overall solution design.

• Good at speaking English.

• Bachelor’s or Master’s degree in Engineering, Computer Science, Software Engineering, or equivalent discipline.

• Minimum 3 years of experience in software testing, including both manual testing and automation testing.

• Strong expertise in automation testing (MUST) using JavaScript/TypeScript or similar stacks.

• Hands-on experience with Playwright/Appium

• Strong experience in manual testing with a high level of attention to detail.

• Proven ability to test both portal/UI and backend APIs (e.g., REST, GraphQL).

• Basic to strong knowledge of databases, including writing SQL queries to validate data accuracy and consistency.

• Good understanding of system architecture, including frontend–backend interactions, APIs, databases, and microservices-based systems.

• Proficient in writing clear, detailed, and effective test cases.

• Deep understanding of the automation development lifecycle, including CI/CD integration.

• Hands-on experience with GenAI tools or GitHub Copilot to enhance automation productivity.

• Ability to live code during interviews or technical discussions.

• Experience in executing tests and troubleshooting issues in staging, pre-production, and production environments