Staff AI Security Engineer — Go/Rust/Python

Zscaler; United States; Hybrid; USD 152,000 - 190,000; Full time

Benefits offered by this job

Health plans

Paid time off

Parental leave

Retirement options

Education reimbursement

In-office perks

Job summary

Zscaler is seeking a Staff Software Engineer - AI Security to join our hybrid team in San Jose, CA. You will own architecture for secure, scalable AI-enabled security products, lead cross-team initiatives, and raise the engineering bar through hands-on delivery.

You should bring 5+ years of software engineering, expertise in Go, Rust, and Python, and a track record of delivering complex systems on cloud platforms (AWS/GCP/Azure).

Qualifications

• 5+ years of software-engineering experience with technical leadership across complex production systems.
• Strong proficiency in Go, Rust, and Python.
• Experience architecting platforms spanning multiple teams or product areas.
• Hands-on coding, prototyping, design review and complex debugging.
• Deep understanding of concurrency, networking, storage, APIs, data systems, and cloud infrastructure on AWS, GCP, or Azure.

Responsibilities

• Define technical direction and architecture for major areas of the product.
• Lead high-impact initiatives that span multiple teams and system boundaries.
• Turn ambiguous product and security challenges into clear, executable engineering strategies.
• Establish standards for secure, reliable, scalable, and maintainable systems.
• Identify systemic risks, architectural gaps, and investments needed for long-term growth.

Skills

Go

Rust

Python

Leadership

Cloud infrastructure

Tools

AWS

GCP

Azure

APIs

Job description

Zscaler is seeking a Staff Software Engineer - AI Security to join our hybrid team in San Jose, CA. You will own architecture for secure, scalable AI-enabled security products, lead cross-team initiatives, and raise the engineering bar through hands-on delivery.

You should bring 5+ years of software engineering, expertise in Go, Rust, and Python, and a track record of delivering complex systems on cloud platforms (AWS/GCP/Azure).