Palo Alto Principal Automation/Test Engineer 

United States, California 

530173306

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• AI-Driven Test Strategy & Architecture: Design and implement a visionary test automation strategy that leverages AI/ML for intelligent test case generation, predictive quality analytics, and self-healing automation frameworks.
• Hands-On Test Automation Development: Lead the development of robust, scalable, and maintainable test automation frameworks from the ground up using languages like Python or Java. You will be writing code and setting the standard for the entire team.
• AI Fluency in Practice: Utilize generative AI and other AI-powered tools for efficient test code generation, synthetic data creation, and anomaly detection within our applications and CI/CD pipelines.
• Technical Leadership and Mentorship: Act as the foremost technical authority in quality engineering. Mentor and guide other engineers on best practices in software testing, automation, and the application of AI in QE.
• Drive AI-First SDLC: Champion and integrate an "AI-First" mindset throughout the software development lifecycle, influencing how we build, test, and release software.
• Cross-Functional Collaboration:
  • Partner closely with Software Development, DevOps, and Product Management teams to embed quality into the development process and ensure the delivery of high-quality, reliable products.
  • Good hold on DevOps & non-prod Environment management (Architecture, Refresh strategy and automation, connectivity, Release train and env mgmt for optimal release strategy etc.)
• Continuous Improvement: Research, evaluate, and implement cutting-edge tools and technologies in test automation and AI to continuously enhance testing efficiency and effectiveness.

Your Experience

• 15+ years of hands-on experience in Quality Engineering or Software Development in Test (SDET).
• Expert-level programming skills in Python, Java, or a similar object-oriented language.
• Proven, demonstrable experience in designing, building, and maintaining complex test automation frameworks from scratch (e.g., using Pytest, Selenium, Playwright, REST Assured).
• Strong practical knowledge and experience applying AI/ML concepts and tools to software quality challenges. This includes hands-on experience with generative AI for code/test generation.
• Experience with AI-powered copilot tools (e.g., GitHub Copilot, Cursor, Amp) for script generation and development productivity.
• Deep expertise with CI/CD pipelines, version control systems (Git), and modern DevOps practices.
• Experience testing complex, distributed systems and microservices architectures.
• Excellent analytical, debugging, and problem-solving skills with an ability to think strategically about quality and technical challenges.
• Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Education

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent military experience required. A Master’s degree is a plus.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.