Security Architect / Security Engineer

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About the role

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. What you’ll do (Role Expectations) • 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 Who You Are (Success Profile) • You are a pragmatic builder who is obsessed with creating, iterating, and shipping secure reference architectures, balancing technical excellence with rapid, hands-on value delivery. • You thrive in ambiguity and feel comfortable designing secure paths for cutting-edge technologies like Agentic AI where standards are still evolving. • You are driven by innovation, bringing deep curiosity and technical engineering fundamentals to solve complex, novel security challenges in cloud and AI environments. • You act like an owner with a strong bias for action, navigating seamlessly between high-level cloud security strategy and deep, hands-on control implementation. • You are resilient and adaptable, maintaining composure and focus during critical incident response activities to guide cross-functional teams toward swift remediation. What We’re Looking for (Minimum Qualifications) • 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, o

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