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Principal Software Automation/Test Engineer

Palo Alto Networks
Santa Clara, United Statesfull_timeVerifiedPosted 24 Jun 2026
💰 $237,500/yr($147,000/yr$237,500/yr)

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

Your Career
At Palo Alto Networks, we're not just building products — we're redefining what's possible in cybersecurity. As a Principal Software Automation/Test Engineer, you'll play a critical role in our mission to secure the world’s digital transformation. Your work will directly impact the quality and reliability of the solutions that protect global enterprises every day. If you're passionate about driving quality at scale and want to be part of a team that's leading the charge in cloud security innovation, we want to hear from you.

  • Why Cortex Cloud?

    • Market Leader – Be part of the fastest-growing cloud security platform, trusted by leading organizations around the globe — and help ensure its quality scales with its success.

    • Innovative Culture – Collaborate with top minds in cybersecurity and automation, where your ideas for smarter, faster, and more secure testing will be valued and implemented.

    • Massive Impact – Your work will directly contribute to protecting the world’s most critical digital assets — by ensuring our solutions are secure, stable, and production-ready.

    • Rapid Growth – Join a high-velocity team where career growth and impact go hand in hand. As we scale, you'll have opportunities to take ownership, lead initiatives, and grow your technical expertise.

Your Impact

1. Integrated Tools Strategy & AI Innovation

  • Architect Next-Gen Platforms: Lead the design of tooling platforms and comprehensive strategies for complex, large-scale systems.

  • Drive AI-Powered Automation: Leverage AI to design intelligent tools that enhance testing efficiency, code quality, and productivity across the organization.

  • Build Agentic Workflows: Integrate LLM-powered assistants and agentic workflows to automate repetitive tasks like test case creation, log analysis, and code review triage.

  • Operationalize Emerging Tech: Evaluate and adopt technologies such as Retrieval-Augmented Generation (RAG) and fine-tuned models to push the boundaries of engineering automation.

  • Establish AI Guardrails: Define best practices for responsible AI usage, including hallucination mitigation and human-in-the-loop review processes.

2. Engineering Productivity & Infrastructure

  • Enhance Developer Experience: Design and implement internal tools, SDKs, and frameworks to boost engineering velocity and productivity.

  • Advanced Framework Development: Build robust automation frameworks equipped with detailed reporting, observability, and seamless CI/CD integration.

  • Cloud-Native Environments: Manage complex testbeds and infrastructure-as-code solutions to support varied development and testing scenarios.

  • Predictive Analytics: Develop AI-driven defect prediction and root cause analysis tools to accelerate the QA lifecycle.

3. Technical Leadership & Mentorship

  • Influence Strategy: Provide insights into engineering efficiency and tooling gaps to influence the development of cutting-edge solutions.

  • Systemic Problem Solving: Guide root cause analysis of complex tooling failures and infrastructure incidents during and after releases.

  • Lead by Example:

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Company

Palo Alto Networks

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