Bachelor’s degree in computer science or other technical discipline or equivalent experience, 4+ years of security experience working with application security, cloud security, and testing or securing AI-enabled systems, LLM integrations, or agent-based workflows, 2+ years of experience with securing Cloud resources using enterprise tools such as Microsoft Defender for Cloud, Prisma Cloud, and/or Google Security Command Center, Experience using AI platforms or AI services and turning AI security findings into actionable guidance, Understanding security requirements, best practices, and execution in various cloud implementation scenarios: IaaS, PaaS, SaaS, Experience with scripting, automation, deployment orchestration, or security configuration management with at least one of the following Terraform, Chef, Puppet, YAML, JSON, PowerShell, BASH, Go, or Python, Knowledge of CI/CD pipelines, containers, container registries, and code repositories, and use of tools such as Jenkins, GitHub, Azure DevOps, etc., Knowledge of compliance and regulatory security requirements (SOX, PCI, HIPAA), Understanding of Agile methodologies, and. Continued education including additional or advanced degrees in analytical, technical, or business discipline, 6+ years of experience in security engineering working with application security, cloud security, and securing AI-enabled systems, LLM integrations, or agent-based workflows, 1+ years of experience using AI platforms or enterprise AI services and turning AI security findings into scalable guidance, 1+ years of experience with automation, deployment orchestration, and security configuration management with Terraform, Chef, Puppet, YAML, JSON, PowerShell, BASH, Go, or Python, 1+ years of experience with hardening CI/CD pipelines, containers, container registries, and code repositories, and use of tools such as Jenkins, GitHub, Azure DevOps, etc., 1+ years of experience in project management and leading projects to completion, Familiarity with Cloud CIS benchmarks, and.