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Indra Philippines, Inc. is seeking a Quality Assurance Lead to drive AI-enabled quality engineering across the SDLC.
You will design AI-powered testing strategies, build advanced automation, and partner with product and operations to ensure rapid delivery with uncompromising quality. The role requires 5+ years in QA with 2+ years in leadership, hands-on experience with AI testing tools, and strong expertise in Selenium, Cypress, Playwright or Appium.
We are seeking a Quality Assurance Lead to spearhead the transformation of our quality engineering practices through cutting-edge AI integration and innovative working methodologies. This role demands a strategic leader who can seamlessly blend traditional quality expertise with AI-powered tools while championing a philosophy that balances rapid delivery with uncompromising quality standards.
Design and implement comprehensive AI-powered QA strategies, leveraging machine learning models for predictive quality analytics, automated test generation, and intelligent defect prediction
Build next-generation test automation frameworks powered by AI, including self-healing test scripts, intelligent test prioritization, and adaptive test coverage analysis
Develop AI-driven quality dashboards and insights that enable data-driven decision‑making, risk forecasting, and continuous improvement initiatives
Lead the adoption of modern agile methodologies tailored for AI-enhanced development cycles, including DevOps integration and continuous testing practices
Implement streamlined processes that accelerate time-to-market while maintaining rigorous quality gates through intelligent automation
Foster a culture of innovation by working closely with development, product, and operations teams to embed quality throughout the entire SDLC
Cultivate an organizational mindset where speed and quality coexist harmoniously
Lead experimental initiatives that explore emerging technologies and methodologies to enhance both delivery velocity and quality outcomes
Mentor and coach QA team members in AI tools, modern testing practices, and adaptive working approaches
5+ years in Quality Assurance with 2+ years in a leadership role
3+ years hands‑on experience with AI-powered testing tools and methodologies
Proven experience with AI/ML tools for software testing, including platforms like Testim, Mabl, Applitools, or similar AI-powered testing solutions
Deep knowledge of contemporary testing frameworks (Selenium, Cypress, Playwright, Appium) enhanced with AI capabilities
Strong background in CI/CD pipelines, containerization, and cloud‑native testing environments
Proficiency in at least one modern programming language (Python, Java, JavaScript/TypeScript) for test automation and AI integration
Demonstrated track record of implementing new ways of working in fast‑paced, agile environments
Experience leading digital transformation initiatives in quality engineering