Staff IT Software Engineer, Quality Engineering Automation
- Source: Paloaltonetworks
- Palo Alto Networks
- On-site
- State of Karnataka, India
- Full-Time
- Staff
Job Description
Bengaluru, Karnataka, India IT Ref ID: JR-018399
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…
Skills
- sap
- Cursor
- claude-by-anthropic
- claude-code
- Github
- gitHub-copilot
- review-board
- workspace
- Python
- Java
- javascript
- Playwright
- Cypress
- selenium
- Pytest
- github-actions
- gitlab
- gitlab-ci
- Jenkins
- Salesforce
- LangChain
- LlamaIndex
- abstract
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