Sr Staff Engineer Software

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.

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 *THIS ROLE HAS AN IN OFFICE 3 DAYS PER WEEK REQUIREMENT* We are seeking a Senior Staff Software Engineer to advance the architectural evolution and technical direction of our platform. In this role, you will tackle high-ambiguity technical challenges, set the engineering vision, and pioneer AI-first development workflows to accelerate feature delivery and elevate software quality. You will take end-to-end ownership of critical system capabilities—designing for scale, optimizing cycle times, and establishing resilient security and operational patterns. What You’ll Do Drive End-to-End Feature Delivery: Take complete ownership of complex, end-to-end feature delivery by breaking down work, managing commitments, and systematically reducing cycle time and rework. Lead AI-First Engineering Practices: Apply high AI tool fluency and prompt/context engineering to design AI-assisted workflows across the agentic SDLC. Rigorously evaluate AI-generated code to prevent hallucinations, security gaps, and logic defects. Architect for Scale & Extensibility: Design clear system interfaces and extensible logic that minimize maintainer toil, gracefully handling performance, reliability, and scale trade-offs. Practice Defensive & Secure Engineering: Enforce defensive coding practices across edge conditions, limits, and complex authorization paths to reduce defect escape rates. Simplify Workflows & Enhance User Experience: Partner with PM and Design to translate product requirements into intuitive code, using prototypes and telemetry to simplify complex user flows and reduce friction. Ensure Production Service Excellence: Act as a champion for service health by driving root cause analysis (RCA) on production incidents, reducing MTTR, and implementing durable fixes. Foster Team Capability & Knowledge Sharing: Run technical experiments, share modern design patterns, document tribal knowledge, and author "RAG-ready" technical notes to onboard and uplevel engineering peers. #LI-KR1 Qualifications Full-Stack Mastery: Deep hands-on experience building enterprise-grade applications using the MEAN stack (MongoDB, Express.js, Angular, Node.js). Cloud Infrastructure Leadership: Proven track record architecting, deploying, and operating scalable solutions within the AWS ecosystem. AI Tooling & Output Verification: Expertise in prompt and context engineering, utilizing AI tools within software development while exercising peer-review rigor to verify AI outputs for correctness and security. Navigating Ambiguity: Demonstrated ability to remain highly productive through fluid requirements, adapting technical tactics while maintaining alignment with business goals. System Design & Extensibility: Strong foundation in designing clean APIs,