[Hiring] Security Architect / Security Engineer @Zscaler

Role Description

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.

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, 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

Requirements

• 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

Benefits

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