Senior Quality Assurance Automation Engineer

3 weeks ago

Yelahanka, India Landmark Group Full time

About the Role- We are looking for a highly skilled Tooling and AI Automation Engineer with 5+ years of relevant experience to join our Automation team—not in a traditional application testing but as a specialist focused on building internal tools, test intelligence platforms, dashboards, and AI-driven test enablement frameworks. Required Skills: - Proficiency in Java/ Python. - Experience in building REST APIs or microservices for internal use and building new testing frameworks from scratch. - Strong understanding of test automation frameworks (e.G., Pytest, Playwright, Cypress, Selenium). - Solid Hands on experience in API Testing using Rest Assured, Mobile Automation using Appium and basics of Performance testing. - Working knowledge or experience with Mabl, TestRigor, or any AI automation tool. - Experience with GenAI or LLM integration for test case generation or failure analysis. - Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). - Familiarity with databases (SQL, NoSQL) and working with test data at scale. - Good in Debugging, Test Case planning, problem solving and logical thinking. Key Responsibilities: - Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms. - Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization. - Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics. - Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts. - Integrate tools and dashboards with CI pipelines (e.G., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.). - Work closely with SREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted. - Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability. - Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices

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