Quality Assurance Engineer

Position Title: Quality Assurance Engineer

Location: Remote

Experience: 1.5-3.5 years

We are looking for a passionate and proactive Quality Assurance Engineer to join our team. The ideal candidate should have strong functional testing skills along with hands-on experience in test automation using Playwright. In addition, the candidate should be comfortable leveraging AI tools to improve testing efficiency, automate repetitive tasks, and enhance overall productivity. This role offers an opportunity to work on modern web applications in an Agile environment while adopting AI-driven Quality Engineering practices.

Key Responsibilities:

• Understand business requirements, user stories, and acceptance criteria to create effective test scenarios.

• Design, execute, and maintain functional, regression, integration, and end-to-end test cases.

• Identify, log, track, and verify software defects throughout the development lifecycle.

• Develop and maintain UI automation scripts using Playwright.

• Execute automated regression suites and analyze test results.

• Collaborate closely with Developers, Product Owners, and Business Analysts throughout the Agile development lifecycle.

• Participate in sprint planning, backlog refinement, and release validation activities.

• Ensure high-quality software deliveries through thorough validation and continuous improvement.

AI-Driven Quality Engineering Responsibilities

The candidate should actively leverage AI to improve day-to-day QA activities, including but not limited to:

• Generate and refine test scenarios using AI tools.

• Create and optimize test cases with AI assistance.

• Utilize AI to identify edge cases and improve test coverage.

• Assist in automation script creation and optimization using AI.

• Perform root cause analysis and defect investigation with AI support.

• Improve productivity by using AI for documentation, test data generation, and repetitive QA tasks.

• Continuously explore and adopt new AI capabilities to enhance Quality Engineering processes.

Hands-on experience with AI tools such as Claude, ChatGPT, GitHub Copilot, or similar AI assistants is highly desirable. The candidate should demonstrate practical experience in integrating AI into daily testing workflows.

Required Technical Skills

• 1.5–3.5 years of experience in Software Quality Assurance.

• Strong understanding of Software Testing Life Cycle (STLC) and Software Development Life Cycle (SDLC).

• Hands-on experience in Functional, Regression, Integration, and System Testing.

• Hands-on experience with Playwright automation.

• Good understanding of web technologies and browser debugging tools.

• Experience in defect management tools such as Jira, Familiarity with Git and version control.

• Good understanding of Agile/Scrum methodologies.