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2 дня назад

Senior Network Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Network Engineer (AI): Designing, deploying, and operating high-speed Ethernet and InfiniBand networks for a GPU cloud platform with an accent on AI infrastructure and HPC topologies. Focus on automating hardware deployment, optimizing network performance, and ensuring scalability for high-performance computing environments.

Location: Must be based in the UK

Company

hirify.global is a GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.

What you will do

  • Design and operate high-speed Ethernet and InfiniBand networks tailored for AI and HPC-oriented environments.
  • Collaborate with deployment teams to verify bills of materials (BOMs) and provide input on data center layouts and rack elevations.
  • Troubleshoot complex performance issues across network layers and serve as an escalation point for critical infrastructure problems.
  • Automate hardware deployment and day-to-day operational tasks using Python or Bash.
  • Design and support WAN infrastructure to ensure seamless connectivity across the platform.

Requirements

  • Proven experience in designing and operating high-speed Ethernet networks (VLAN, LACP, MLAG, BGP, OSPF, EVPN, VXLAN).
  • Hands-on expertise with InfiniBand configuration, performance tuning, and troubleshooting (Subnet Managers, QoS, RDMA).
  • Strong knowledge of WAN technologies including MPLS, BGP, IPSec, GRE, and SD-WAN.
  • Familiarity with HPC networking topologies such as Fat Tree and Rail.
  • Proficiency in scripting with Python or Bash.
  • Location: Must be based in the UK

Culture & Benefits

  • Highly competitive compensation package including base salary, bonus, and equity.
  • Annual performance reviews and a dynamic, tailored progression plan.
  • Human-First Flexibility: A workplace based on trust and autonomy to shape your own schedule.
  • Opportunity to directly influence how global AI capacity is planned and deployed in a fast-growing company.

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