QA Automation Engineer (Web & API Automation)

Qa Automation Engineer (Web & Api Automation)

About The Role

Key Responsibilities

• Design and develop automation frameworks from scratch using Playwright, Rest Assured, or Pytest.
• Build comprehensive API automation suites (REST / GraphQL) with schema validation and reusable components.
• Implement AI-driven testing features such as self-healing locators, intelligent test generation, and predictive defect analytics.
• Conduct performance testing using K6, Gatling, or JMeter, identifying bottlenecks and recommending optimizations.
• Partner with DevSecOps and SRE to embed security and resilience checks within CI/CD pipelines.
• Execute automation tests on cloud platforms (BrowserStack / LambdaTest) for cross-browser validation.
• Integrate automation suites into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) to enable continuous validation.
• Collaborate with Product, Dev, DevOps, and Business teams to define test strategies, quality gates, and acceptance criteria.
• Generate detailed test dashboards and analytics reports for visibility and decision-making.

Required Skills & Experience

• Minimum 5+ years of QA Automation experience with focus on Web & API automation.
• Strong hands-on experience with Playwright, Rest Assured, or Pytest for Web and API automation.
• Programming proficiency in JavaScript / TypeScript, Java, or Python.
• Should know how to test APIs using Postman or SoapUI for functional and quick validations.
• Proven experience in designing and developing automation frameworks from scratch.
• Solid understanding of API testing, JSON schema validation, and service mocking.
• Exposure to AI-powered or self-healing automation frameworks.
• Proficiency in performance testing (K6 / Gatling / JMeter).
• Knowledge of application security testing and OWASP Top 10.
• Familiarity with cloud execution farms (BrowserStack / LambdaTest).
• Expertise in CI/CD integration and Dockerized environments.

Preferred Qualifications

• Bachelor’s / Master’s degree in Computer Science, Engineering, or related field.
• Experience in banking, fintech, or digital transformation projects.
• Familiarity with AI/ML-based test analytics and quality insights.
• Experience in analysing logs and metrics to identify root causes and resolve issues.
• Excellent communication and cross-team collaboration skills.
• Self-driven and ownership-oriented, able to work independently with minimal supervision.