Systems Engineer (Go/Networking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Systems Engineer (Go/Networking): Building and evolving high-scale L4 proxy services for a global network with an accent on performance, reliability, and low-level networking primitives. Focus on designing and maintaining the Spectrum edge and control plane, integrating eBPF, and ensuring system stability at massive scale.
Location: Hybrid (Austin, TX)
Company
is a global network provider dedicated to building a better Internet by protecting and accelerating millions of websites and applications.
What you will do
- Develop and maintain the Spectrum edge dataplane for TCP/UDP connection handling and TLS termination.
- Build and scale the Spectrum control plane for configuration management and global provisioning.
- Integrate Spectrum with core L3/L4 services like Unimog, Magic Transit, and Argo Smart Routing.
- Optimize performance and reliability of high-throughput edge network daemons.
- Participate in on-call rotations and incident response to ensure production stability.
- Collaborate across teams to evolve the L4 proxy stack and pay down technical debt.
Requirements
- Strong programming experience in Go.
- Solid understanding of L3/L4 networking including TCP, UDP, IP, and anycast.
- Experience with Linux networking primitives such as sockets, eBPF, and netfilter.
- Ability to design and integrate RESTful APIs and backend systems.
- Must be eligible to work in the U.S. and comply with U.S. export control laws.
- Experience operating and debugging large-scale distributed systems in production.
Nice to have
- Familiarity with Rust.
- Experience with TLS termination, PROXY protocol, or L4/L7 proxies like Envoy or Nginx.
- Knowledge of ClickHouse, Kafka, or large-scale analytics pipelines.
- Contributions to open-source networking projects.
Culture & Benefits
- Mission-driven culture focused on protecting a free and open Internet.
- Opportunities to work on high-impact projects like Project Galileo and the Athenian Project.
- Emphasis on curiosity, iteration, and AI-native problem solving.
- Commitment to diversity, inclusion, and equal opportunity employment.
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