Quality Assurance Lead

vC Labs team seeking a highly skilled and forward-thinking QA Lead to architect and scale our test automation framework. This role will be pivotal in driving quality engineering practices across the organization, leveraging AI to enhance test coverage, maintainability, and speed. The ideal candidate will also mentor and coach QA engineers, define best practices, and foster a culture of continuous improvement. Key Responsibilities Framework Ownership: Design, implement, and evolve a scalable, maintainable, and AI-augmented test automation framework using playwright. AI Integration: Leverage AI techniques for test case generation, defect prediction, visual anomaly detection, self-healing test scripts, and intelligent test data creation. Process Definition: Establish and enforce QA processes, coding standards, and documentation practices. Team Leadership: Mentor and coach QA engineers, conduct code reviews, and lead technical training sessions. Collaboration: Work closely with tech leads and product owners to ensure seamless CI/CD integration and shift-left testing. Quality Advocacy: Champion quality across the SDLC, from requirements to release. Metrics Reporting: Define KPIs for test effectiveness, coverage, and automation ROI. Required Skills Experience 8+ years in QA with at least 3 years in a lead or architect role. Strong programming skills in JavaScript, Python. Expertise in automation frameworks for web, API and Mobile testing. Experience with AI-assisted testing tools for test case generation, defect prediction, visual anomaly detection, self-healing test scripts, and intelligent test data creation. Deep understanding of CI/CD pipelines and integration with automation. Familiarity with containerization and cloud platforms. Strong knowledge of REST APIs, microservices testing, and performance testing. Excellent communication and leadership skills. Preferred Qualifications Experience with BDD/TDD frameworks (e.g., Cucumber, JUnit, TestNG). Exposure to security testing and compliance frameworks. Contributions to open-source QA tools or communities. Education Bachelor s or master s degree with specialization in Computer Science or related field Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.