This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking an AI-savvy Principal QA Test Engineer to transform how we test and validate Prisma Access Services. As a technical leader, 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.
Job Responsibility:
Design and implement autonomous 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
Build AI-powered test generation systems that automatically create comprehensive test suites from requirements, specifications, and production telemetry
Participate in system design to ensure quality, observability, and testability are built-in throughout the feature development lifecycle
Provide technical leadership in browser security, cloud orchestration, distributed systems, and AI-assisted quality engineering across multi-team quality initiatives
Mentor junior and mid-level engineers on AI/ML testing techniques, prompt engineering, and modern quality practices
lead adoption of new testing methodologies and measure impact
Collaborate with Development, SRE, Product Management, and Technical Marketing to align quality strategy with business outcomes
influence peers without authority to establish quality standards
Stay current with AI/ML advancements and translate them into practical testing innovations (agentic workflows, multimodal testing, AI-powered observability)
experiment with emerging tools and drive team adoption of proven practices
Requirements:
10+ years of experience in QA/Test Automation Engineering with demonstrated impact on product quality and team practices
2+ years of hands-on experience with AI/ML technologies, including LLMs, prompt engineering, and AI-assisted development workflows
Proven track record of building autonomous testing systems or AI-powered quality engineering tools
Deep expertise in cybersecurity, cloud networking, or distributed systems test
Strong proficiency in Python and/or Go for test automation and AI workflow development
Hands-on experience with LLM frameworks and AI model integration
Expertise in REST API testing, web UI automation (Selenium, Playwright, Puppeteer), and cloud-native application testing