Palo Alto Networks

Senior Automation Engineer(QA)

Palo Alto Networks$106K — $170K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of professional experience in software engineering, test automation, or DevOps roles.
  • Proficiency with AI-assisted development tools like Cursor, Claude Code, and GitHub Copilot.
  • Expertise in programming languages such as Python, Java, or JavaScript.
  • Proven experience designing automation frameworks using enterprise tools like Playwright or Selenium.
  • Deep expertise in integrating automated testing into CI/CD workflows such as GitHub Actions or Jenkins.

Responsibilities

  • Design and execute end-to-end test automation strategies across diverse platforms.
  • Collaborate with engineering leadership to create an AI-First SDLC platform.
  • Architect self-healing automation frameworks that adapt to UI/API changes.
  • Champion AI-native coding workflows and tool adoption across the organization.
  • Evaluate and integrate internal tooling and advanced CI/CD testing capabilities.
  • Participate in product and integration design reviews for testability and data integrity.
  • Mentor junior engineers in AI fluency, debugging, and integration practices.

Benefits

  • Remote work flexibility with the Santa Clara office as a base location.
  • Immigration sponsorship eligibility for qualified candidates.
  • Opportunity to work in a high-tech cybersecurity environment.
Full Job Description
Job Summary

The Team

Information Technology - Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

Job Summary

As a Senior Software Engineer in IT Quality Engineering Automation, you will be the technical anchor and visionary for our automated testing and next-generation SDLC ecosystem, operating directly from our Santa Clara office. At Palo Alto Networks, we are transitioning from traditional QA to an AI-First engineering culture. This role is highly strategic, focusing on the complex, end-to-end (E2E) automation and integration across Palo Alto Networks' core Enterprise IT applications: Salesforce (SFDC) for Go-To-Market (GTM), SAP for Finance, and our proprietary, Custom Microservices-based platforms for Licensing and Entitlement Management. Moving beyond siloed testing, you will architect an intelligent, AI-augmented testing infrastructure that binds these critical domains together, ensuring flawless business workflows at scale.

Key Responsibilities
  • Cross-Domain Automation: Design, architect, and execute complex, end-to-end test automation strategies that span across diverse platforms-validating seamless data flows from SFDC (GTM) to Custom Microservices (Licensing) down to SAP (Finance).


  • AI Platform Evolution: Partner with engineering leadership to design and build an AI-First SDLC platform, embedding intelligent agents, LLMs, and automated reasoning into enterprise code generation, test creation, and deployment pipelines.


  • Intelligent Framework Design: Architect next-generation, self-healing automation frameworks that utilize AI to dynamically adapt to UI/API changes across SaaS apps, ERPs, and custom microservices, drastically reducing test maintenance.


  • AI Tooling Advocacy: Act as the subject matter expert and champion for AI-native coding workflows. Drive the organization-wide adoption and best practices of advanced AI pair-programmers and terminals (e.g., Cursor, Claude Code, GitHub Copilot).


  • Tooling & Infrastructure: Evaluate, build, and integrate internal tooling, infrastructure-as-code, and advanced CI/CD continuous testing capabilities to optimize enterprise release velocity.


  • Design & Review Board: Participate in early-stage product and integration design reviews to ensure enterprise applications are designed for cross-functional testability, data integrity, and security.


  • AI Fluency & Mentorship: Upskill and mentor Senior and Junior QE engineers in AI fluency, teaching teams how to write effective prompts, leverage AI agents for debugging, and securely integrate AI into their daily coding workflows.


  • Code Standards: Set the technical standard for automation code quality. Establish best practices, design patterns, and conduct rigorous code reviews for both human-written and AI-generated automation repositories.


Qualifications

Required Qualifications
  • Industry Experience: 4+ years of professional experience in software engineering, test automation, or DevOps roles.


  • AI Fluency & Tooling: Deep hands-on experience and fluency with modern AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot Workspace, OpenAI API) and a strong understanding of how to embed them into daily workflows.


  • Programming Mastery: Deep proficiency in programming languages such as Python, Java, or JavaScript. Excellent software design and coding skills are paramount.


  • Automation Expertise: Proven experience designing and architecting frameworks using modern enterprise tools (e.g., Playwright, Cypress, Selenium, RestAssured, Karate, or PyTest).


  • CI/CD & DevOps: Deep expertise integrating automated testing pipelines into enterprise CI/CD workflows (GitHub Actions, GitLab CI, or Jenkins) and managing version control (Git) at scale.


Preferred Qualifications
  • Enterprise App Expertise: Prior experience and strong domain knowledge in any of the following core areas: Salesforce (SFDC) ecosystem supporting Go-To-Market (GTM) functions, SAP systems driving core Finance applications, Custom Microservices architectures and distributed systems (specifically focused on high-throughput transactions like Licensing and Entitlement Management).


  • Cross-Functional Scaling: A proven potential and appetite to quickly scale technically across unfamiliar functional domains to bridge automation gaps.


  • AI/ML Engineering: Experience building or fine-tuning custom AI tooling, prompt engineering workflows, or utilizing LLM orchestrators (e.g., LangChain, LlamaIndex).


  • Education: B.E./B.Tech/M.Tech in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).


  • AI-First Mindset: A forward-thinking approach to engineering that defaults to using, building, and optimizing with artificial intelligence to solve complex enterprise scalability problems.


  • Strategic Influence: Exceptional communication skills with the ability to influence technical and non-technical stakeholders, driving cultural shifts toward AI adoption across global teams.


  • High Autonomy: Strong ownership and accountability; a proven track record of taking abstract, complex integration challenges and turning them into scalable, automated technical solutions.


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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$106,000.00 - $170,500.00/yr

Is role eligible for Immigration Sponsorship?: Yes

About Palo Alto Networks

Palo Alto Networks, Inc. is an American multinational cybersecurity company with headquarters in Santa Clara, California. Its core products are a platform that includes advanced firewalls and cloud-based offerings that extend those firewalls to cover other aspects of security. The company serves over 70,000 organizations in over 150 countries, including 85 of the Fortune 100. It is home to the Unit 42 threat research team and hosts the Ignite cybersecurity conference.
Learn more about Palo Alto Networks
Size
11,870 employees
Market Cap
$42.6 billion
Industry
Net Income
-$368.2 million
Founded
2005
5 Year Trend
+25.7%
Revenue
$3.7 billion
NASDAQ

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