
QA Automation Engineer
2 days ago
As a QA Automation Engineer at PakWheels, you will be responsible for ensuring the quality and reliability of products by collaborating closely with engineering, production, marketing, and sales teams throughout the product life cycle. You will translate product requirements into detailed test plans, conduct rigorous testing, and analyze market data to enhance user experience. Additionally, you will play a key role in QA processes, ensuring seamless product releases while maintaining PakWheels' competitive edge in the market.
Responsibilities
- Build and enhance end-to-end test automation frameworks for both UI and API testing.
- Develop, maintain, and execute robust automation test scripts for web and mobile applications using Cypress, Selenium, and Appium.
- Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitHub Actions, or similar.
- Conduct performance and load testing where applicable, using tools like JMeter or Lighthouse.
- Collaborate with cross-functional teams to define quality standards and testing strategies.
- Participate in code reviews and contribute to best testing practices.
- Analyze test results, generate test reports, and track quality metrics.
- Continuously improve the efficiency and coverage of existing automation test suites.
- Leverage Agentic AI frameworks and LLM-powered tools to generate, prioritize, and maintain test cases based on changing product requirements or user stories.
- 2+ years of experience in QA Automation.
- Strong programming/scripting skills in Java, Python, JavaScript, or TypeScript.
- Experience with automation frameworks like Selenium, Cypress, Playwright, and Appium.
- Experience with API testing using tools such as Postman, REST Assured, or Karate.
- Familiarity with CI/CD tools (Jenkins, CircleCI, GitHub Actions).
- Experience in testing web and mobile applications.
- Knowledge of version control systems like Git.
- Good knowledge of XPath, CSS selectors, and DOM manipulation for dynamic web apps.
- Understanding of software testing methodologies and Agile/Scrum processes.
- DB and SQL knowledge
- Strong knowledge of Generative AI, Large Language Models (LLMs), coding agents, and Agentic AI frameworks.
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