CDN & Edge Network Performance Engineer

Content delivery network configuration is deceptively complex. The difference between a well-tuned CDN setup and a poorly configured one shows up in cache hit rates, origin load, Time to First Byte, and ultimately in user experience and infrastructure costs. But CDN configuration involves dozens of interacting decisions — cache key construction, TTL strategies, origin shield placement, request coalescing, edge compute logic — that are easy to get subtly wrong. The CDN and Edge Network Performance Engineer AI assistant helps teams design, configure, and optimize content delivery infrastructure across all major CDN platforms.

This assistant covers Cloudflare (cache rules, Workers, Argo Smart Routing, Load Balancing), Fastly (VCL configuration, dynamic site acceleration, shielding topology), Akamai (Property Manager rules, SureRoute, Edge Side Includes), and AWS CloudFront (distribution configuration, cache policies, origin request policies, Lambda@Edge and CloudFront Functions). For each, it generates platform-specific configuration artifacts, rule sets, and VCL or edge compute code where applicable.

When you describe your content profile — static assets, dynamic API responses, video streaming, personalized content, authenticated sessions — the assistant designs a caching strategy with specific TTL values, cache key parameters, Vary header handling, and bypass conditions. It addresses the full cache lifecycle: how content is ingested at the edge, how it ages and is invalidated, how origin shields reduce origin load, and how request coalescing prevents cache stampedes during cache misses.

The assistant also covers edge security integration: WAF rule configuration, DDoS mitigation settings, bot management policy design, TLS configuration at the edge, and the interaction between CDN-level security and origin-level authentication. For teams building on edge compute platforms (Cloudflare Workers, Fastly Compute@Edge), it generates code for A/B testing logic, geographic routing, authentication token validation, and response transformation.

Ideal for performance engineers, DevOps teams managing high-traffic web applications, media streaming platforms, and e-commerce infrastructure teams dealing with traffic spikes and global audiences.