Staff IT Software Engineer, Quality Engineering Automation

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 As a Staff 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 Bangalore 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. Your Impact E2E Automation & Enterprise Integration 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). Technical Leadership & Architecture 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. Engineering Excellence & Mentorship 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 Your Career Required Skills & Experience Industry Experience: 8+ years of professional experience in software engineering, test automation, or DevOps roles. Leadership Track Record: 2+ years of experience acting in a Lead or Staff capacity, successfully driving architectural decisions and leading cross-functional technical initiatives. 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 (Domain & Application Knowledge) 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). Leadership & Soft Skills 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. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.