Drimva

Palo Alto Networks

Staff Software Engineer - (Future Opportunities)

Office - USA - CA - Headquarters · No · Staff · Full-time · Posted Jul 31, 2026

Experience
3–5 years of professional/equivalent software engineering experience.
Education
BS/MS/PhD in Computer Science, Software Engineering, Machine Learning, Cybersecurity, or a similar technical field.
Visa sponsorship
Will not sponsor applicants for work visas for this position.

About the job

Develop and improve software for Palo Alto Networks’ cybersecurity products, using AI-assisted engineering practices and contributing across the software development lifecycle.

What you'll do

  • Design, develop, and deploy software solutions with cross-functional teams; write maintainable code and participate in reviews and design discussions.
  • Use AI-assisted development tools and help evolve AI-enabled practices for code generation, testing, documentation, and refactoring.
  • Automate development, deployment, and monitoring processes, and contribute to continuous team and product improvements.

What they ask for

  • BS/MS/PhD in Computer Science, Software Engineering, Machine Learning, Cybersecurity, or a similar technical field.
  • Strong programming skills in one or more modern languages, such as Python, JavaScript/TypeScript, Java, Go, or C/C++.
  • Understanding of distributed systems, data structures, algorithms, operating systems, software development lifecycles, and Git.
  • Demonstrated problem-solving skills and willingness to ask questions and work openly with others.

Nice to have

  • Exposure to LLMs or AI/ML APIs; familiarity with cloud environments and containerized development.
  • Experience with CI/CD pipelines, observability platforms, or infrastructure-as-code; interest in cybersecurity.

Tools

Cursor, Claude Code, Python, JavaScript/TypeScript, Java, Go, C/C++, Git

AI focus

Use AI-assisted development tools and help define engineering practices for AI-enabled code generation, testing, documentation, and refactoring; continuously learn AI technologies that improve developer workflows.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)