Quality Assurance Automation

This role is for one of the Weekday's clients

Salary range: Rs 3500000 - Rs 5500000 (ie INR 35-55 LPA)

Quality Assurance (QA) Automation Engineer

Requirements

Key Responsibilities

• Design, develop, and maintain scalable test automation frameworks and test suites for web, mobile, and API-based applications.
• Collaborate with cross-functional teams to understand requirements, define acceptance criteria, and ensure comprehensive test coverage.
• Perform functional, regression, integration, performance, and system-level testing using automation tools.
• Execute automated test scripts, analyze results, and report defects with detailed documentation.
• Identify, track, and validate defect fixes, ensuring product quality throughout the release cycle.
• Optimize test execution cycles by introducing innovative testing practices and tools.
• Implement CI/CD pipelines to integrate automated tests with build and deployment processes.
• Contribute to code reviews, design discussions, and provide feedback to improve quality standards.
• Continuously evaluate and recommend new automation tools, techniques, and technologies to improve testing efficiency.
• Mentor junior QA team members and contribute to building a strong quality engineering culture.
  

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4-11 years of experience in Quality Assurance, with a strong focus on automation testing.
• Proficiency in programming/scripting languages such as Java, Python, JavaScript, or C#.
• Hands-on experience with automation frameworks such as Selenium, Cypress, Playwright, Appium, TestNG, JUnit, or Robot Framework.
• Strong understanding of API testing tools (Postman, REST Assured, SoapUI, Karate, etc.).
• Familiarity with CI/CD pipelines using Jenkins, GitLab CI, CircleCI, or similar tools.
• Experience with version control systems such as Git/GitHub/Bitbucket.
• Solid knowledge of software testing methodologies, SDLC, STLC, and defect life cycle.
• Good understanding of cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes) is a plus.
• Excellent problem-solving skills, attention to detail, and ability to work in fast-paced environments.
• Strong communication and collaboration skills to effectively engage with cross-functional teams