Security Architect / Security Engineer
New
Z
ZscalerCloud security
Remote - USAFull-TimeSenior
Salary164,500 - 235,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years of experience in security engineering, cloud security, application security, or platform security with direct implementation ownership; 10+ years preferred.
- Required Skills
- AWSNode.jsPythonGCPKubernetesTypeScriptAzure
Requirements
- Have 7+ years of experience in security engineering, cloud security, application security, or platform security with direct implementation ownership.
- Bring a foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.
- Have strong coding skills and experience delivering production systems, preferably with Python, TypeScript, or Node.
- Have hands-on experience with agentic AI systems, including tool/function calling, multi-step planning, RAG, memory/state management, and orchestration.
- Bring cloud security experience in AWS, Azure, and/or GCP, including IAM, logging/monitoring, workload protection, Kubernetes, and IaC security.
- Have practical incident response experience, including investigation, coordination, and remediation using SIEM, SOAR, EDR, CSPM, or CNAPP tools.
- Preferred: experience leveraging AI technologies and workflows to drive operational efficiency.
- Preferred: familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and modern cloud security frameworks.
- Preferred: experience building red-team-style testing or evaluation harnesses for LLM applications and agentic systems.
- Preferred: 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 cloud-native security controls 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 with SOC and engineering teams.
View Full Description & ApplyYou'll be redirected to the employer's site
