Lead AI Gateway Security Engineer

• Design, deploy, integrate, and maintain enterprise AI gateway capabilities across complex, multi-cloud, and federal environments
• Lead implementation of AI security controls, including guardrails, policy enforcement, secure API integrations, and machine-to-machine authentication supporting LLM inference and agent-based architectures
• Develop scalable, highly available security architectures
• Automate policy-as-code, remediation workflows, and governance controls using Kubernetes, Terraform, CI/CD, APIs, scripting, and OPA
• Lead continuous improvement of security workflows, playbooks, escalation paths, service-level expectations, and governance processes supporting Wiz and cloud security tools
• Partner with cloud engineering, security operations, compliance, Dev Sec Ops , application, and system-owner teams to operationalize findings and drive remediation to closure
• Mentor and potentially supervise technical team members
• Work without considerable direction

• 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability management
• Experience deploying, configuring, and administering AI security measures such as AI gateways and guardrails in large, complex, and multi-cloud environments
• Experience with API integrations and machine-to-machine authentication and authorization such as API keys and OAuth
• Experience with AI application and agent architectures or protocols, including LLM inference, MCP, and A2A
• Experience supporting security tooling within federal environments
• Experience building high availability architectures to support enterprise scale deployments
• Ability to implement, operationalize, and maintain enterprise cloud security policies and governance controls
• Ability to automate tooling and workflows via APIs, Terraform, Kubernetes, or scripting
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree
• Experience with Kong AI Gateway
• Experience deploying and managing Kubernetes infrastructure
• Experience using CI/CD to manage and deploy policy as code
• Experience with Open Policy Agent (OPA)
• Experience coding custom plugins for AI Gateways
• Kong Gateway Certified Associate Certification
• Cloud security certifications such as CISSP, CCSP, Security+, AWS Security Specialty, or Microsoft Azure Security Engineer
• Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client
• Must comply with the prohibition on using AI or other tools during interviews unless permission is explicitly provided

Demonstrates expertise in designing and implementing enterprise AI security architectures, including policy enforcement and secure API integrations. Proficient in automating workflows and governance controls using tools like Kubernetes and Terraform within complex, multi-cloud environments.

• Cloud Security
• AI Security Measures
• Kubernetes Infrastructure Management
• Policy Automation
• Kong AI Gateway

• Cloud Security
• Cybersecurity Operations
• Security Engineering
• Vulnerability Management
• API Integrations
• Machine-to-Machine Authentication
• AI Application Architectures
• High Availability Architectures
• Policy as Code
• Custom Plugin Development

• Mentoring
• Collaboration
• Leadership

• Kong Gateway Certified Associate
• CISSP
• CCSP
• Security+
• AWS Security Specialty
• Microsoft Azure Security Engineer

• Multi-Cloud Environments
• Federal Environments
• AI Gateways
• Guardrails
• Governance Controls

• Kubernetes
• Terraform
• CI/CD
• Open Policy Agent (OPA)
• Wiz
• Cloud Security Tools