Description:
- Inviting applications for a highly skilled QA Test Architect with a strong background in test automation frameworks, modern QA practices, and AI-driven testing solutions.
- You will play a key role in defining the QA strategy, enabling scalable test architectures, and implementing intelligent testing mechanisms that leverage machine learning, NLP, and AI models.
- This is a hands-on leadership role where you will collaborate with cross-functional teams, guide QA best practices, and drive quality across all stages of product development.
Key Responsibilities:
- Define and own the end-to-end QA architecture and automation strategy, including tools, frameworks, and infrastructure.
- Design AI/ML-based quality solutions, including predictive defect detection, test case optimization, and intelligent test data generation.
- Lead the evaluation, adoption, and implementation of AI tools in testing (e.g., test impact analysis, visual validation, self-healing tests).
- Mentor and guide QA engineers across automation, performance, and exploratory testing.
- Collaborate closely with product managers, developers, and data scientists to ensure quality is embedded early in the SDLC.
- Establish and track quality KPIs; implement test analytics and dashboards.
- Oversee CI/CD pipeline integration, ensuring fast feedback and test reliability.
- Evaluate and integrate open-source and commercial tools for automation, performance, security, and AI-driven testing.
- Drive shift-left testing practices and introduce AI-powered test authoring and execution techniques.
Key Skills & Qualifications:
- 10+ years in QA/Testing, with at least 4+ years in a test architect or similar senior QA role.
- Strong knowledge of automation frameworks (e.g., Selenium, Playwright, Appium, TestNG, JUnit).
- Experience in AI/ML model testing or building AI-enabled QA solutions.
- Proficient in at least one programming language: Java and JavaScript.
- Experience with API testing tools (Postman, REST Assured, etc.) and performance testing (e.g., JMeter, K6).
- Experience in setting up test strategies for web, mobile, and microservices architectures.
- Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI).
Nice to Have:
- Exposure to Generative AI tools or use cases in QA.
- Contributions to open-source testing tools or community.
- Exposure to AI testing tools like Testim, Functionize, Applitools, or self-healing frameworks.
- ISTQB Advanced Test Architect or similar certification.
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