Software Engineer, Edge Network Performance & Reliability

CloudFlare

San Francisco (CA)

In loco

USD 140.000 - 190.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Flexible PTO
Parental Leave
Leave programs

Descrizione del lavoro

Cloudflare is seeking a Software Engineer for the Network Performance & Reliability (Argo) team in San Francisco. You will contribute to a highly scalable edge network powering Cloudflare products such as CDN, Spectrum, and Workers, using Rust, Go, Linux networking, and related tech.

You will collaborate across teams and participate in design, code, tests, and production deployments. The role emphasizes solving large-scale problems with AI-assisted tools, maintaining on-call readiness, and

Competenze

  • Systems-level programming with Go, Rust, C or C++ is expected; Rust is used extensively.
  • A solid grasp of networking protocols in Layers 3 and 4.
  • Experience/interest in HTTP networking, CDN, and VPN technologies.
  • Experience building secure, highly available distributed systems.
  • Strong debugging and collaboration skills.

Mansioni

  • Own important aspects of Cloudflare's networks to enable reliable connectivity.
  • Contribute to Argo-powered products and platform capabilities.
  • Collaborate with Engineering, Network Engineering and SRE teams.
  • Design, document, and implement software, tests, and deployments.
  • Operate in a Run What You Build model with on-call responsibilities.

Conoscenze

Go
Rust
Networking
Distributed systems
AI tools adoption

Strumenti

ClickHouse
PostgreSQL
Grafana
Kubernetes

Descrizione del lavoro

Cloudflare is seeking a Software Engineer for the Network Performance & Reliability (Argo) team in San Francisco. You will contribute to a highly scalable edge network powering Cloudflare products such as CDN, Spectrum, and Workers, using Rust, Go, Linux networking, and related tech.

You will collaborate across teams and participate in design, code, tests, and production deployments. The role emphasizes solving large-scale problems with AI-assisted tools, maintaining on-call readiness, and

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