Lead QA Automation Engineer AI Test Intelligence

As a Lead QA Automation Engineer at our company, you will play a crucial role in driving the vision of AI-powered Quality Assurance across our product suite. Your responsibilities will include leading a high-performing QA team, designing and implementing robust automation frameworks, integrating AI-driven testing solutions, and collaborating with cross-functional teams to build a fully automated test ecosystem. **Key Responsibilities:** - **Lead and Architect QA Automation Frameworks:** - Design, implement, and maintain robust automation frameworks (Selenium, Playwright, Cypress, or Appium) integrated with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI). - **AI-Powered Test Automation:** - Integrate or build AI-driven testing solutions using tools like Testim.io, Mabl, Functionize, TestSigma, or custom AI agents for intelligent test case generation, auto-healing test scripts, predictive defect detection, and automated exploratory testing. - **Data-Driven QA:** - Utilize analytics, BigQuery, or Looker dashboards to derive insights on test effectiveness, flakiness, and coverage gaps. - **Test Strategy & Planning:** - Develop comprehensive test plans for new features and regression cycles, implementing best practices for test documentation, versioning, and reporting. - **Team Leadership & Mentorship:** - Lead a team of automation and manual QA engineers, define career growth plans, and conduct code and test reviews. - **Collaboration:** - Work closely with Product Managers and Developers to embed quality gates early in the SDLC (Shift-Left Testing). - **Continuous Improvement:** - Research and introduce emerging AI/ML tools that improve test coverage, speed, and reliability. **Required Skills & Experience:** - 6 to 10 years of total QA experience, with at least 3 years in QA automation leadership. - Strong command of Selenium, Playwright, or Cypress for web; Appium for mobile testing. - Proficiency in Python / JavaScript / Java for writing test scripts. - Hands-on experience with CI/CD pipelines and Cloud infrastructure (GCP / AWS / Azure). - Exposure to AI-based test automation tools (e.g., Testim, Mabl, Functionize, TestSigma, Applitools). - Understanding of LLM-based tools or prompt-driven test automation (e.g., ChatGPT, Codium, GitHub Copilot). - Familiarity with API testing (Postman, REST Assured, Karate) and performance testing (JMeter, k6). - Strong knowledge of SDLC, Agile, and DevOps QA practices. - Excellent analytical, problem-solving, and mentoring skills. In addition to the above, you will have the opportunity to lead the AI transformation of QA automation in a fast-growing SaaS company. You will also work on global projects across Singapore, US, and LATAM markets, benefit from a flat hierarchy, flexible work culture, and have access to top-tier AI tools. Competitive compensation and performance-based growth are also part of the benefits offered.,