Staff Software Engineer - AI Security (Go/Rust/Python)

Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure.

The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

We are looking for a Staff Software Engineer - AI Security to join our team.

Role Expectations

• 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

Who You Are (Success Profile)

• You thrive in ambiguity and build the path as you walk it
• You act like an owner, with a passion for the mission that fuels your bias for action
• You are a problem-solver, energized by complex challenges and finding elegant solutions
• You are a high-trust collaborator, building strong relationships through clear feedback and respect
• You are driven by innovation, with a deep curiosity for how systems work and a desire to solve technical challenges at the cutting edge of AI security

What We're Looking for (Minimum Qualifications)

• Demonstrated curiosity and active exploration of AI tools
• 5+ years of software-engineering experience, including technical leadership across complex production systems
• Strong proficiency in Go, Rust, and Python, with deep expertise in systems engineering, security engineering, and backend platforms
• Demonstrated experience architecting and evolving platforms that span multiple teams or product areas
• Proven ability to remain hands-on through coding, prototyping, design review, and complex debugging
• Deep understanding of concurrency, networking, storage, APIs, data systems, and cloud infrastructure on AWS, GCP, or Azure

What Will Make You Stand Out (Preferred Qualifications)

• Experience building enterprise security, endpoint, cloud, or infrastructure products
• Familiarity with AI/ML systems, analytics platforms, AI applications, or AI security
• Experience helping a startup or high-growth product evolve into a scalable engineering organization

Benefits

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!