We are seeking a Senior QA Engineer who can own and drive both manual and automation testing. This is not just about following test cases — you will be building, optimizing, and executing test strategies that ensure speed, accuracy, and reliability for our global AI-powered KYC platform. You will work closely with development teams to catch issues early, automate repetitive validations, and deliver high-quality releases in our high-paced, client-driven environment.
Responsibilities- Design, implement, and maintain automation frameworks for API, web, and mobile testing.
- Plan, execute, and document test cases for new features, enhancements, and bug fixes.
- Integrate automated tests into CI/CD pipelines for continuous quality validation.
- Identify, log, and track defects with clear reproducible steps.
- Collaborate with developers to ensure defects are resolved quickly.
- Optimize test coverage for speed without compromising quality.
- Conduct performance, security, and regression testing.
- Maintain test data, environments, and documentation.
- Continuously improve QA processes to reduce testing cycles and increase reliability.
- 4+ years in QA roles, with both automation and manual testing experience.
- Strong skills in automation tools such as Selenium, Cypress, Playwright, or similar.
- Experience in API testing with tools like Postman, Newman, or RestAssured.
- Proficiency in a scripting/programming language (Java, JavaScript, Python, or similar) for test automation.
- Strong understanding of QA methodologies, testing types, and best practices.
- Hands-on experience with CI/CD integration for automated testing.
- Manual testing expertise for functional, regression, and exploratory testing.
- Strong analytical and debugging skills to isolate root causes.
- Experience working in a fast-paced environment.
- Experience testing high-availability, large-scale systems.
- Familiarity with performance and load testing tools (JMeter, Locust, etc.).
- Exposure to security and compliance testing (ISO 27001, SOC 2, GDPR).
- Experience in testing AI/ML-driven products.
- Have QA related certifications.
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