CodiLime
CodiLime
CodiLime — 2011 жылы құрылған бағдарламалық жасақтама және желілік инженерия қызметтерін ұсынатын компания. Компания желілік жабдық өндірушілерімен, бағдарламалық жасақтама жеткізушілерімен, телекоммуникация компанияларымен, технологиялық стартаптармен және саласында орныққан компаниялармен жұмыс істейді. Оның командалары клиенттерге тұжырымдаманың жұмыс істейтінін дәлелдеу арқылы идеяларын тексеруге, желіге бағытталған өнімдер құруға және өндірістегі жүйелерді қолдауға көмектеседі. Компанияның сараптамасына желілерді автоматтандыру, төмен деңгейлі жүйелік бағдарламалау, бақыланғыштық, DevOps және киберқауіпсіздік кіреді. Жобалар АҚШ, Жапония, Израиль және Еуропада жүзеге асырылған. CodiLime компаниясының қызметкерлерді жалдау бағыты B2B технологиялары мен телекоммуникация жобаларына арналған инженерлік жұмыстарға шоғырланған.

Senior RDMA Performance Engineer (Remote, Egypt)

CodiLime is hiring a senior engineer to validate NVIDIA-based AI data-center networks. The role focuses on RDMA fabrics, congestion control, benchmarking, and network automation.

Сипаттама

  • Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards (NICs)
  • Implement and tune congestion-control mechanisms for AI workloads, including RoCEv2, PFC, and ECN
  • Optimize network environments for high throughput, low latency, and reduced Job Completion Time (JCT)
  • Benchmark and validate AI-ready data-center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL)
  • Apply AI agents and specialized tools to automate network operations, testing, and telemetry analysis
  • Create and maintain technical documentation for network designs, configurations, and benchmarking outcomes
  • Collaborate in an Agile startup-style project team supporting a US-based client

Талаптар

  • At least 7 years of professional network engineering experience
  • Preferably 3 or more years specializing in data-center network design and architecture
  • Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP
  • Deep knowledge of AI-focused data-center architectures, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD), with practical deployment experience
  • Demonstrated ability to configure, manage, and troubleshoot NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards (NICs)
  • Strong understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN)
  • Ability to tune network environments through switch-buffer optimization and Quality of Service (QoS) policies
  • Experience benchmarking and validating AI-ready data-center fabrics with RDMA and NVIDIA Collective Communication Library (NCCL)
  • Ability to use AI agents and tools for task automation, testing, and analysis
  • Strong technical writing skills and professional English communication
  • Professional certifications such as CCNP/CCIE Enterprise or Data Center, JNCIP, or equivalent are desirable
  • Hands-on experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is desirable
  • Familiarity with GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is desirable

Артықшылықтар

  • Choose flexible working arrangements, including fully remote, office-based, or hybrid work
  • Access internal training sessions and a professional development budget
  • Receive structured, hands-on onboarding
  • Join a collaborative team of professionals who care about their work
  • Have the opportunity to move between projects

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