Principal SQA Engineer - AI/Automation
About the role
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Job Summary We are looking for a highly motivated AI-savvy Principal Software Quality Assurance Engineer to join our Digital Web QA team. As a Principal SQA Engineer, you will be responsible for creating and implementing a strategy for quality coordination and transforming how we test and validate as well as suggesting solutions to identified quality problems. All this in a fast paced, agile-based process of development, test and release. In this role, you will design and implement autonomous QA workflows that leverage AI to achieve unprecedented test coverage, efficiency, and defect detection. You will take ownership of quality outcomes, mentor teams, and drive innovation in how we approach testing at scale. Key
Responsibilities Design and implement autonomous scalable End-to-End (E2E) QA workflows using AI agents and LLM-based frameworks to achieve continuous, intelligent test execution across multiple services. Develop AI-augmented test infrastructure enabling scalable, context-aware testing that reflects real-world deployment scenarios —specifically integrating self-healing test suites, AI-driven test case generation, and Visual AI regression tools. Build AI-powered test generation systems that automatically create comprehensive test suites from