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Jobs · Information Technology · California

Senior Automation Engineer(QA)

Palo Alto Networks · Santa Clara, CA · 1 wk ago
On-siteInformation Technology$106k–$171k/yrFull-time

About the role

The role is part of the Information Technology team at Palo Alto Networks, a high-tech cybersecurity company. You will be working with the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

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

  • 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.
  • 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).
  • Preferred Qualifications: 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.

Pay

$106,000.00 - $170,500.00/yr

Schedule

Full-time, remote option available.

Benefits

Our commitment to diversity and inclusion is unwavering. We celebrate the unique contributions of every individual and strive to create a workplace where everyone feels valued and empowered to reach their full potential. We are dedicated to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Equal Opportunity Employer

We are committed to providing equal employment opportunities for all qualified individuals without regard to race, color, ancestry, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, disability, or veteran status. All your information will be kept confidential according to EEO guidelines.

Is Role Eligible for Immigration Sponsorship?

Yes

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