Principal SQA Engineer - AI/Automation
Core
Design and implement autonomous, scalable End-to-End QA workflows using AI agents and LLM-based frameworks to achieve continuous, intelligent test execution and unprecedented defect detection for Palo Alto Networks' digital products.
Role type
Principal SQA Engineer (AI/Automation)
Builds
Autonomous QA workflows, AI-augmented test infrastructure, self-healing test suites, and AI-driven test case generation systems.
Domain
Cybersecurity, Cloud Orchestration, Distributed Systems, AI/ML
Deliverable
production ML models | product features
Required skills
AI/ML technologies (LLMs, prompt engineering), REST API automation (Python), Web UI automation (Selenium, Playwright, Puppeteer), Cloud-native application testing, Root cause analysis, Agile/Scrum methodologies, Technical leadership, System design
Preferred skills
RAG pipelines, Vector databases, Knowledge graphs, CI/CD environments (Jenkins), Endpoint product automation frameworks
Technologies
Python, Selenium, Playwright, Puppeteer, Jenkins, LLMs, AI Agents, Vector Databases
Responsibilities
Design autonomous scalable E2E QA workflows using AI agents; Develop AI-augmented test infrastructure with self-healing suites; Build AI-powered test generation systems from requirements; Participate in system design for quality and observability; Mentor engineers on AI/ML testing and prompt engineering; Collaborate with Dev/SRE/Product to align quality strategy; Execute functional and E2E system tests across release phases; Conduct deep-dive root cause analysis on complex bugs; Establish AI strategy for new features and redesigns.
Seniority
Principal, hands-on IC with mentorship
