CodiLime
CodiLime
201 – 500 कर्मचारी
B2Bदूरसंचारहार्डवेयर
CodiLime एक सॉफ्टवेयर और नेटवर्क इंजीनियरिंग सेवा कंपनी है, जिसकी स्थापना 2011 में हुई थी। यह नेटवर्किंग हार्डवेयर विक्रेताओं, सॉफ्टवेयर प्रदाताओं, दूरसंचार कंपनियों, प्रौद्योगिकी स्टार्टअप्स और स्थापित उद्योग कंपनियों के साथ काम करती है। इसकी टीमें ग्राहकों को प्रूफ ऑफ कॉन्सेप्ट के माध्यम से विचारों को मान्य करने, नेटवर्क-केंद्रित उत्पाद बनाने और उत्पादन में चल रही प्रणालियों को सहयोग देने में मदद करती हैं। कंपनी की विशेषज्ञता में नेटवर्क ऑटोमेशन, लो-लेवल सिस्टम प्रोग्रामिंग, ऑब्ज़र्वेबिलिटी, DevOps और साइबर सुरक्षा शामिल हैं। इसके प्रोजेक्ट्स का अनुभव अमेरिका, जापान, इज़राइल और यूरोप तक फैला हुआ है। CodiLime का भर्ती संदर्भ B2B प्रौद्योगिकी और दूरसंचार परियोजनाओं के लिए इंजीनियरिंग कार्य पर केंद्रित है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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