Test Automation Architect Manager
The Test Automation Architect Manager is a pivotal leadership role responsible for defining, architecting, and driving the test automation strategy and implementation across enterprise programs, with a strong focus on TOSCA. T
Key Responsibilities:
- Architect, design, and implement enterprise-level test automation frameworks and strategies, primarily leveraging TOSCA.
- Drive the adoption, optimization, and governance of TOSCA across various projects and teams, ensuring adherence to best practices.
- Lead the development of scalable, maintainable, and efficient automated test suites for functional, regression, API, and performance testing.
- Evaluate, select, and integrate various test automation tools and technologies, including AI-driven solutions, into the existing ecosyst
AI & GenAI Application in Testing Skills:
- Understanding how AI/ML can be applied to optimize test processes, such as intelligent test selection, defect prediction, self-healing automation, and anomaly detection.
- Familiarity with concepts like prompt engineering and RAG pipelines for potentially generating test data, test cases, or test scripts using GenAI.
- Ability to evaluate, integrate, and champion the adoption of AI-driven testing tools and platforms to improve efficiency and coverage.
Qualifications and Skills:
- 10+ years of experience in Quality Assurance and Test Automation, with at least 3-5 years in an Architect or Lead role.
- 5+ years of hands-on experience with TOSCA Testsuite, including deep expertise in TDM, API testing,
UI automation, and CI/CD integration.
- 2+ years of experience with AI/ML concepts and their application in enhancing test automation, intelligent testing, or quality engineering processes.
- Proven experience in designing and implementing end-to-end test automation strategies for complex enterprise applications.
Tools & Technologies
Must Have Tools
- TOSCA Testsuite (including TDM, API, UI automation)
- Test Management tools (e.g., Jira, Azure DevOps, ALM Octane)
- CI/CD tools (e.g., Jenkins, Azure Pipelines, GitLab CI, GitHub Actions)
- Programming languages for scripting (e.g., Python, Java, C#)
- Version Control Systems (e.g., Git)
Good To Have Tools
- Selenium, Playwright, Cypress or other open-source automation frameworks
- API testing tools (e.g., Postman, SoapUI, Karate)
- Performance testing tools (e.g., JMeter, LoadRunner)
- Cloud platforms (e.g., Azure, AWS, GCP) for test workplace management
- Basic understanding of ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch) for specific test automation use cases.
Nice To Have Tools
- AI-powered test data generation or intelligent test case selection tools
- Predictive analytics tools for quality insights and defect prediction
- RPA tools for broader process automation in testing
- Experience with other commercial automation tools (e.g., UFT, Worksoft)
- GenAI tools for prompt engineering in test case design or script generation (e.g., LangChain, LlamaIndex)
Preferred candidate profile
📌 Test Automation Architect Manager (TOSCA & AI) (Bengaluru)
🏢 PwC
📍 Bengaluru