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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 and establish quality standards
Enhance test strategies, automation, and build infrastructure with feedback and analysis from real-world customer deployments
Stay current with AI/ML advancements and translate them into practical testing innovations like agentic workflows, multimodal testing, and AI-powered observability
Requirements:
M.S./B.S. degree in Computer Science, Electrical Engineering, or equivalent military experience required
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
Intermediate to Expert level experience with REST API driven automation using Python or Go
Deep expertise in cybersecurity, cloud networking, or distributed systems test, including expert knowledge of TCP/IP, DNS, and SSL/TLS
Experience with Identity Technologies such as Azure AD, Okta, or Ping Identity
Experience with cloud providers (AWS, Azure, GCP) and cloud networking architectures (VPCs, subnets, security groups, NAT)
Experience with Windows/Linux/MAC Networking and Security Features
Expertise in REST API testing, web UI automation (Selenium, Playwright, Puppeteer), and cloud-native application testing
Nice to have:
Experience with designing or building automation frameworks from scratch for Endpoint products
Experience with Network or Application Load Balancers
Experience building RAG pipelines, vector databases, and knowledge graphs for test intelligence
Experience with browser security solutions such as enterprise browsers, remote browser isolation, or browser extensions
Knowledge of SASE (Secure Access Service Edge) architecture and Zero Trust Network Access (ZTNA) principles