Zscaler seeks a hands-on Security Architect/Engineer to design and operationalize security for agentic AI and cloud-native environments. This remote role involves building secure agent runtimes, cloud security controls, and leading incident response across AWS, Azure, and GCP.
What you’ll do
Build secure agent runtimes, reusable libraries, and validation pipelines for agentic AI applications
Implement secure agent patterns including planner/executor flows, tool routing, structured outputs, and RAG trust boundaries
Design and implement cloud security controls across AWS, Azure, and GCP (IAM, workload protection, logging)
Partner with platform and engineering teams to embed secure-by-default cloud controls
Lead incident response, triage, and remediation for cloud platforms and AI systems
What you’ll need
Foundational understanding of AI/ML technologies
7+ years in security engineering, cloud security, application security, or platform security
Strong coding skills with Python, TypeScript, or Node
Hands-on experience with agentic AI systems (tool/function calling, multi-step planning, RAG, memory/state management)
Strong cloud security experience in AWS, Azure, and/or GCP
Practical incident response experience using SIEM, SOAR, EDR, CSPM, or CNAPP tools
Benefits
Various health plansTime off for vacation and sick timeParental leave optionsRetirement optionsEducation reimbursementIn-office perks
Original job description
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…