Staff Software Engineer — AI‑Driven Security Systems

Palo Alto Networks; United States; Hybrid; USD 104,000 - 170,000; Full time

Job summary

Palo Alto Networks is seeking engineers to joining our Research and Development team to build the next generation of security products. You will gain hands‑on experience with products across Strata, Prisma, and Cortex, tackling hard cybersecurity problems and delivering high‑quality software.

Collaborate with cross‑functional teams, apply AI‑assisted tools, and contribute to DevOps practices to automate deployment and improve code quality.

Qualifications

• BS/MS/PhD in CS/SE/ML/Cybersecurity with 3–5 years of software engineering experience.
• Strong programming skills in Python, JavaScript/TypeScript, Java, Go, or C/C++.
• Fundamentals in distributed systems, data structures, algorithms, and OS.
• Experience with Agile DevOps and Git version control.
• Proven problem‑solving ability and collaboration.

Responsibilities

• Collaborate with cross‑functional teams to design, develop, and deploy software with agility.
• Use AI‑assisted development tools to boost productivity and code quality.
• Define and evolve engineering practices for AI‑driven coding, testing, and refactoring.
• Write clean, maintainable code and participate in peer reviews.
• Automate development, deployment, and monitoring as part of a DevOps culture.
• Learn new AI technologies and apply them to developer workflows.
• Contribute to team retrospectives and improve velocity and quality.

Skills

Python

JavaScript/TypeScript

Java

Go

C/C++

Education

Bachelor's/Master's/PhD in CS/SE/ML/Cybersecurity

Tools

Git

Docker

Kubernetes

CI/CD

IaC

Cloud platforms

Job description

Palo Alto Networks is seeking engineers to joining our Research and Development team to build the next generation of security products. You will gain hands‑on experience with products across Strata, Prisma, and Cortex, tackling hard cybersecurity problems and delivering high‑quality software.

Collaborate with cross‑functional teams, apply AI‑assisted tools, and contribute to DevOps practices to automate deployment and improve code quality.