Quality Analyst

Role Overview:

We are looking for an AI-Native QA Engineer (QA-1) who uses AI as a core part of the testing lifecycle to deliver faster, broader, and more reliable testing for fintech applications.

The role is focused on AI-assisted test automation, functional testing, test coverage, defect identification, and QA productivity.

Key Responsibilities:

• Use AI coding tools such as Claude Code, Cursor, GitHub Copilot, Codex or equivalent for test creation and automation.
• Use AI across the QA lifecycle — requirement analysis, test-case generation, test-data creation, automation, debugging, and documentation.
• Create comprehensive functional, regression, integration, and API test cases using AI-assisted approaches.
• Develop and maintain automated test scripts using tools such as Playwright, Cypress, Selenium, Appium, or equivalent.
• Use AI to identify edge cases, negative scenarios, and potential defects that may be missed through conventional testing.
• Automate API testing and validation for backend services.
• Use AI for failure analysis, log analysis, and root-cause identification.
• Validate AI-generated test cases and automation scripts for accuracy and coverage.
• Maintain regression suites and continuously improve test coverage.
• Work closely with developers to identify, reproduce, and resolve defects.

Required Skills:

• 1–3 years of experience in QA / Software Testing.
• Good understanding of functional, regression, API and integration testing.
• Hands-on experience with automation tools such as Playwright, Cypress, Selenium or equivalent.
• Basic scripting/programming knowledge in JavaScript/TypeScript, Python or Java.
• Good understanding of REST APIs, SQL and Git.
• Hands-on experience with AI-assisted QA/testing tools.
• Ability to effectively prompt, guide, and validate AI-generated test cases and automation code.
• Strong analytical and debugging skills.

Preferred:

• Experience building automation primarily through AI-assisted development.
• Experience with CI/CD-based automated testing.
• Understanding of cloud-based applications and microservices.