Architect EL5 Application Delivery & Edge Security Engineer
Hartford, Vermont, United States of America
Contract
5 days ago
Key skills
PythonBashPowerShellAIAWSAzureGoogle CloudCDNAkamaiCloudflareCI/CDCommunicationOWASPWAF
About this role
Architect EL5 Application Delivery & Edge Security Engineer Job Summary
Seeking an experienced Application Delivery & Edge Security Engineer to support and optimize enterprise application delivery, WAF, CDN, and edge security platforms across cloud and on-prem environments. The role involves hands-on engineering, troubleshooting, operational support, and platform modernization.
Key Responsibilities- Configure, maintain, and support F5, A10, Cloudflare, Akamai, WAF, and CDN platforms.
- Support application onboarding, migrations, traffic management, and edge security implementations.
- Troubleshoot complex issues across DNS, HTTP/HTTPS, TLS/SSL, routing, switching, and application security layers.
- Partner with infrastructure, security, and application teams to ensure secure and reliable service delivery.
- Participate in on-call support, incident response, maintenance activities, and SLA-driven operations.
- Create and maintain technical documentation, runbooks, and audit artifacts.
- Support security assessments, compliance activities, and remediation efforts.
- Contribute to automation and operational efficiency initiatives.
- 5+ years of experience with application delivery and edge security platforms such as F5, A10, AVI, Citrix, Cloudflare, Akamai, and WAF technologies.
- Strong knowledge of HTTP/HTTPS, TLS/SSL, DNS, routing, switching, CDN, and OWASP security concepts.
- Experience supporting cloud-native applications in AWS, Azure, or Google Cloud Platform.
- Strong troubleshooting, operational support, and communication skills.
- Scripting/automation experience with Python, PowerShell, Bash, or similar tools is a plus.
- Experience with automation, IaC, and CI/CD.
- Exposure to enterprise monitoring and observability tools.
- Relevant cloud or security certifications preferred.
Candidates are expected to demonstrate baseline proficiency with enterprise-approved AI tools and maintain consistent usage as part of daily responsibilities.