Lead Linux Software Engineer – AI-Driven Prisma Access

Palo Alto Networks, Inc.; Santa Clara (CA); On-site; USD 135,000 - 218,000; Full time

Job summary

Palo Alto Networks, Inc. seeks an experienced Software Engineer to design, develop, and deliver next‑generation security solutions on the GlobalProtect/Prisma Access Linux agent.

You will write high‑quality C/C++ code, optimize performance, and collaborate across teams to ship robust features for our Linux platform. This role emphasizes ownership, mentorship, and applying AI‑enhanced techniques to improve security telemetry and threat response, while aligning with product roadmaps and production

Qualifications

• 8+ years of software development experience on Linux.
• 2+ years Linux systems programming with kernel internals.
• Proficiency in C/C++ on Linux.
• Experience with multiple Linux distributions (RHEL/Ubuntu/Fedora).
• Networking protocols and troubleshooting on Linux.
• Strong teamwork and communication.
• MS/BS in CS/EE or equivalent military experience.

Responsibilities

• Lead the development of a secure Prisma Access Linux client.
• Collaborate with product management to craft roadmaps that elevate Endpoint capabilities and ensure integration with the Prisma Access agent.
• Design scalable system architectures and resolve production challenges to ensure a seamless user experience.
• Provide mentorship and coaching to team members.
• Integrate AI-driven technologies into the Linux agent to optimize performance and threat response.

Skills

Linux development

C/C++ programming

Linux kernel internals

Networking basics

Team collaboration

Strong communication

Education

CS/EE degree

Job description

Palo Alto Networks, Inc. seeks an experienced Software Engineer to design, develop, and deliver next‑generation security solutions on the GlobalProtect/Prisma Access Linux agent.

You will write high‑quality C/C++ code, optimize performance, and collaborate across teams to ship robust features for our Linux platform. This role emphasizes ownership, mentorship, and applying AI‑enhanced techniques to improve security telemetry and threat response, while aligning with product roadmaps and production