Test Automation Architect

Job Description

Test Automation Architect Chennai, India Information Technology 17183 Overview We are seeking an experienced Test Automation Lead/Architect to spearhead an AI-driven End-to-End (E2E) testing initiative . The ideal candidate will have a strong background in test automation frameworks, AI-driven testing strategies, and continuous integration (CI/CD) . This role involves designing, implementing, and optimizing AI-powered test automation solutions to enhance software quality and efficiency. Responsibilities Key Responsibilities Lead AI-driven test automation initiatives to improve efficiency and accuracy in E2E testing. Design and implement scalable test automation frameworks using AI-based tools and methodologies. Collaborate with development, QA, and DevOps teams to integrate AI-powered testing into CI/CD pipelines. Optimize test coverage and defect detection using AI-driven analytics and predictive testing models. Evaluate and implement AI-based testing tools for functional, performance, and security testing. Develop automated test scripts for UI, API, and backend validation using AI-enhanced techniques. Mentor and guide the testing team on AI-driven automation best practices. Ensure compliance with industry standards and best practices in AI-powered testing. Requirements Qualifications & Skills: Education: Bachelor's or Master's degree in Computer Science, Engineering, or related fields. Experience: 8+ years in test automation, software testing, or AI-driven testing solutions. Technical Expertise: Strong knowledge of AI-based testing tools (e.g., Test.ai, Applitools, Mabl). Expertise in automation frameworks (Selenium, Cypress, Playwright, Appium). Experience with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps). Proficiency in programming languages (Python, Java, JavaScript). Knowledge of machine learning models for predictive testing. Leadership & Communication: Ability to lead teams, engage stakeholders, and drive AI adoption in testing. Problem-Solving: Strong analytical skills to identify testing gaps and optimize automation strategies . Preferred Qualifications: Experience with AI-powered defect prediction and self-healing test automation . Familiarity with cloud-based testing environments (AWS, Azure, Google Cloud). Strong background in performance testing and security automation .