Network Software Engineer: Reliability & Performance

Cloudflare

Austin (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Cloudflare is seeking a Systems Engineer to join the Argo team in Austin, Texas. The role entails owning and enhancing connectivity technologies for Cloudflare's services, ensuring robust product performance by collaborating closely with engineering teams.

The ideal candidate should possess systems-level programming experience in languages like Go or Rust, strong debugging capabilities, and a solid understanding of networking protocols. The position emphasizes collaboration, curiosity, and a willingness to adopt innovative AI tools in engineering workflows.

Qualifications

  • Experience in systems-level programming languages like Go, Rust, C, or C++.
  • Solid grasp of networking protocols, particularly OSI Layers 3 and 4.
  • Knowledge of HTTP and CDN architectures.
  • Experience in implementing secure and reliable distributed systems.
  • Strong issue debugging skills in complex systems.

Responsibilities

  • Own and contribute to the engineering of Cloudflare's connectivity technology.
  • Collaborate with engineering teams to translate requirements into platform capabilities.
  • Participate in the software development lifecycle from design to production deployment.
  • Utilize AI-powered tools for analysis and problem-solving.

Skills

Systems-level programming in Go, Rust, C, or C++
Understanding of networking protocols Layers 3 and 4
Knowledge of HTTP, TLS, CDN networks
Experience in secure distributed systems
Debugging complex systems
Collaboration and communication skills
Interest in HTTP networking and VPN technologies
Network performance monitoring and tuning
Adopting AI tools in workflows

Job description

Cloudflare is seeking a Systems Engineer to join the Argo team in Austin, Texas. The role entails owning and enhancing connectivity technologies for Cloudflare's services, ensuring robust product performance by collaborating closely with engineering teams.

The ideal candidate should possess systems-level programming experience in languages like Go or Rust, strong debugging capabilities, and a solid understanding of networking protocols. The position emphasizes collaboration, curiosity, and a willingness to adopt innovative AI tools in engineering workflows.

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