Security Architect / Security Engineer

Zscaler

2d•$164,500 - $235,000•Remote

About The Position

Zscaler (NASDAQ: ZS) 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. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Security Architect / Security Engineer to join our team. This is a Remote-USA role, reporting to the VP, Information Security Engineering in the Exposure Management & Security Operations department. We’re looking for a hands-on Security Architect / Security Engineer to design, build, and operationalize security capabilities across Agentic AI and Cloud Security. This is an implementation-focused role for someone who can ship production-grade security controls, develop secure reference architectures, and drive response and remediation for security issues across AI systems and cloud-native environments.

Requirements

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
7+ years of experience in security engineering, cloud security, application security, or platform security with direct implementation ownership
Strong coding skills with experience delivering production systems, with Python, TypeScript, or Node preferred
Hands-on experience with agentic AI systems, including tool/function calling, multi-step planning, RAG, memory/state management, and orchestration
Strong cloud security experience in AWS, Azure, and/or GCP, including IAM, logging/monitoring, workload protection, Kubernetes, and IaC security
Practical experience in incident response, including investigation, coordination, and remediation utilizing SIEM, SOAR, EDR, CSPM, or CNAPP tools

Nice To Haves

Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
Familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and modern cloud security frameworks
Experience building red-team style testing or evaluation harnesses for LLM applications and agentic systems
10+ years of experience in security engineering, cloud security, application security, or platform security with direct implementation ownership

Responsibilities

Build secure agent runtimes, reusable libraries, reference implementations, and validation pipelines for agentic AI applications and workflows
Implement secure agent patterns including planner/executor flows, tool routing, structured outputs, memory/state controls, and RAG trust boundaries
Design and implement security controls for cloud-native environments across AWS, Azure, and GCP, including IAM, workload protection, and logging
Partner with platform and engineering teams to embed secure-by-default cloud controls into shared services and developer workflows
Lead incident response, triage, and remediation workflows for cloud platforms and AI systems in partnership with SOC and engineering teams