Lead QA Automation Engineer – AI Test Intelligence

3 weeks ago

New Delhi, India Lean Impeccable Tech Full time

About the Role:We are looking for a passionate and experienced Lead QA Automation Engineer who can drive the vision of AI-powered Quality Assurance across our product suite. This role blends deep expertise in test automation frameworks with the ability to leverage AI tools (like ChatGPT, Testim, Mabl, Katalon, or custom LLM-based testing agents) to accelerate testing efficiency, improve test coverage, and reduce manual QA efforts.You will lead a small but high-performing QA team and work closely with Product, Engineering, and DevOps to build a fully automated, self-healing test ecosystem that scales with our products.KeyKey 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 using OpenAI / Vertex AI for: - Intelligent test case generation and prioritization - Auto-healing test scripts - Predictive defect detection - Automated exploratory testing - Data-Driven QA: - Leverage 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. Implement 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 ensure quality gates are embedded 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.Benefits:- Opportunity to lead the AI transformation of QA automation in a fast-growing SaaS company. - Exposure to global projects across Singapore, US, and LATAM markets. - Flat hierarchy, flexible work culture, and access to top-tier AI tools. - Competitive compensation and performance-based growth.

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