Cardekho.com
Quality Analyst - I
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
26 September 2026
What they need
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:
- 13 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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