Senior Staff Software Engineer

Who We Are

Nice to Have

• Identity & Access Security Domain: Direct experience with IAM, PAM, IGA, or Secrets Management platforms.
• Modern Frontend & Quality Tooling: Fluency in TypeScript along with automated testing frameworks such as Jest, Playwright, or JMeter for load and stress testing.
• DevOps & Observability Ecosystems: Practical experience with progressive delivery, CI/CD pipelines, feature flagging tools, and modern monitoring frameworks.
• Context Engineering & Retrieval: Experience structuring codebase documentation and architecture for Retrieval-Augmented Generation (RAG) and reusable prompt templating.
• Impact As a Senior Staff Software Engineer, you will serve as a primary pillar of our technical strategy and engineering culture. By combining deep technical expertise with AI-first workflows, you will transform complex, ambiguous visions into secure, scalable, and highly performant platform capabilities. Your impact will be measured not only by the durability and reliability of the software you ship, but also by the accelerated velocity and heightened capability of the engineering teams with which you collaborate.
• Impact
• As a Senior Staff Software Engineer, you will serve as a primary pillar of our technical strategy and engineering culture. By combining deep technical expertise with AI-first workflows, you will transform complex, ambiguous visions into secure, scalable, and highly performant platform capabilities. Your impact will be measured not only by the durability and reliability of the software you ship, but also by the accelerated velocity and heightened capability of the engineering teams with which you collaborate.

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, refactoring complex code bases, and making explicit architectural trade-offs for long-term scalability.
• Production & Operational Ownership: Extensive experience debugging complex production services, driving RCAs, and implementing systemic prevention mechanisms.
• Cross-Functional Influence: Skilled at aligning with PM, Design, and engineering partners,
• writing clear RFCs, and mentoring teams without needing formal authority.
• 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 [email protected].
• 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.

Responsibilities

• 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.