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Saransh Inc Linkedin · Posted 1mo ago

Architect EL5 Application Delivery & Edge Security Engineer

Hartford, Connecticut, United States

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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.

Required Qualifications

  • 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 GCP.
  • Strong troubleshooting, operational support, and communication skills.
  • Scripting/automation experience with Python, PowerShell, Bash, or similar tools is a plus.

Preferred Skills

  • Experience with automation, IaC, and CI/CD.
  • Exposure to enterprise monitoring and observability tools.
  • Relevant cloud or security certifications preferred.

AI Tool Usage Requirement

Candidates are expected to demonstrate baseline proficiency with enterprise-approved AI tools and maintain consistent usage as part of daily responsibilities.

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