About the role
AI-Native 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.