Senior Network Performance & Reliability Engineer

SupportFinity™; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Cloudflare, a leader in Internet infrastructure, seeks a Software Engineer for Network Performance & Reliability in Austin. You will contribute to Argo-based services, enhancing reliability for a broad product portfolio including CDN, Spectrum, and VPN technologies.

You’ll work with Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and AI-powered tooling to analyze production data and drive improvements across the deployment lifecycle.

Qualifications

• Systems-level programming experience in Go, Rust, C, or C++.
• Solid grasp of networking protocols in Layers 3 and 4 of the OSI model.
• Knowledge of HTTP, TLS, and CDN networks.
• Experience in implementing secure and highly-available distributed systems.
• Strong ability to debug issues in complex systems.
• Strong collaboration and communication skills.
• Experience/interest in HTTP networking and VPN technologies.
• Experience/interest in network performance monitoring and tuning.
• Willingness to adopt and integrate AI tools into engineering workflow.

Responsibilities

• Own and improve reliability of Cloudflare's Argo network stack.
• Collaborate with multiple engineering teams to translate requirements into platform capabilities.
• Work with Network Engineering and SRE to optimize edge-network usage.
• Design, implement, and test software across the full development lifecycle.

Skills

Go

Rust

C++

Networking

HTTP/TLS

Distributed systems

AI tooling

Debugging

Tools

ClickHouse

PostgreSQL

Grafana

Kubernetes

Job description

Cloudflare, a leader in Internet infrastructure, seeks a Software Engineer for Network Performance & Reliability in Austin. You will contribute to Argo-based services, enhancing reliability for a broad product portfolio including CDN, Spectrum, and VPN technologies.

You’ll work with Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and AI-powered tooling to analyze production data and drive improvements across the deployment lifecycle.