Test Architect

Role Overview: As a QE Architect specializing in AI & Agentic AI, your primary role will involve leading the transformation of traditional QA practices into intelligent, autonomous, and self-healing quality ecosystems using modern AI/ML and agent-based architectures. You will be responsible for designing and implementing next-generation quality engineering strategies to enhance product quality, test efficiency, and release velocity for web and mobile applications. Key Responsibilities: - Lead end-to-end software testing architecture for web and mobile applications. - Design and implement scalable test automation frameworks using Pytest and Appium. - Utilize your 1015 years of experience in test automation, with 8+ years in a Test Architect or similar role. - Demonstrate strong hands-on expertise in Python, Pytest, and Appium (iOS & Android). - Showcase proficiency in Java or Python for automation and AI-driven solutions. - Apply your experience with Agentic AI development and autonomous testing workflows. - Exhibit proven ability to integrate automation into CI/CD pipelines using tools like Jenkins, GitHub Actions, and GitLab CI. - Show familiarity with API testing tools such as requests, Postman, RestAssured, and service virtualization. - Utilize knowledge in test data management, mocking, and performance testing to enhance testing processes. - Utilize your excellent communication, leadership, and mentoring skills to collaborate effectively within the team. Qualifications Required: - 1015 years of experience in test automation, with 8+ years in a Test Architect or similar role. - Strong hands-on expertise in Python, Pytest, and Appium (iOS & Android). - Proficiency in Java or Python for automation and AI-driven solutions. - Experience with Agentic AI development and autonomous testing workflows. - Proven ability to integrate automation into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). - Familiarity with API testing (requests, Postman, RestAssured) and service virtualization. - Knowledge of test data management, mocking, and performance testing. - Excellent communication, leadership, and mentoring skills to effectively lead the team. Role Overview: As a QE Architect specializing in AI & Agentic AI, your primary role will involve leading the transformation of traditional QA practices into intelligent, autonomous, and self-healing quality ecosystems using modern AI/ML and agent-based architectures. You will be responsible for designing and implementing next-generation quality engineering strategies to enhance product quality, test efficiency, and release velocity for web and mobile applications. Key Responsibilities: - Lead end-to-end software testing architecture for web and mobile applications. - Design and implement scalable test automation frameworks using Pytest and Appium. - Utilize your 1015 years of experience in test automation, with 8+ years in a Test Architect or similar role. - Demonstrate strong hands-on expertise in Python, Pytest, and Appium (iOS & Android). - Showcase proficiency in Java or Python for automation and AI-driven solutions. - Apply your experience with Agentic AI development and autonomous testing workflows. - Exhibit proven ability to integrate automation into CI/CD pipelines using tools like Jenkins, GitHub Actions, and GitLab CI. - Show familiarity with API testing tools such as requests, Postman, RestAssured, and service virtualization. - Utilize knowledge in test data management, mocking, and performance testing to enhance testing processes. - Utilize your excellent communication, leadership, and mentoring skills to collaborate effectively within the team. Qualifications Required: - 1015 years of experience in test automation, with 8+ years in a Test Architect or similar role. - Strong hands-on expertise in Python, Pytest, and Appium (iOS & Android). - Proficiency in Java or Python for automation and AI-driven solutions. - Experience with Agentic AI development and autonomous testing workflows. - Proven ability to integrate automation into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). - Familiarity with API testing (requests, Postman, RestAssured) and service virtualization. - Knowledge of test data management, mocking, and performance testing. - Excellent communication, leadership, and mentoring skills to effectively lead the team.