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 Platform Validation Engineer, RDMA — Remote Poland

CodiLime is hiring a senior Platform Validation Engineer to test and optimize NVIDIA AI data-center networks using RDMA technologies. The role focuses on congestion control, performance benchmarking, network automation, and telemetry analysis.

विवरण

  • Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Implement and tune RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification for AI workloads.
  • Tune network environments to maximize throughput, reduce latency, and minimize Job Completion Time.
  • Benchmark and validate AI-ready data-center fabrics using RDMA and the NVIDIA Collective Communication Library.
  • Apply AI agents and specialized tools to automate network operations, testing, and telemetry analysis.
  • Create and maintain documentation for network architectures, configurations, and benchmarking outcomes.
  • Collaborate within an Agile project team in a startup environment supporting a US-based client.

आवश्यकताएँ

  • At least seven years of professional network engineering experience.
  • Preferably three or more years focused on data-center network design and architecture.
  • Hands-on expertise configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP.
  • Strong knowledge of AI-focused data-center architectures, including Rail-Optimized Design and Rail-Unified Design topologies.
  • Experience configuring, administering, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Advanced understanding of RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification.
  • Experience tuning network environments, including switch buffers and Quality of Service policies.
  • Experience benchmarking and validating AI-ready data-center fabrics with RDMA and the NVIDIA Collective Communication Library.
  • Ability to use AI agents and tools for task automation, testing, and analysis.
  • Strong technical writing skills and professional English communication.
  • Professional certification such as CCNP, CCIE Enterprise or Data Center, JNCIP, or an equivalent credential is desirable.
  • Hands-on experience with network automation and validation frameworks such as pyATS, NAPALM, Batfish, Nornir, or NetBox is desirable.
  • Exposure to CI/CD pipelines, including GitLab CI, GitHub Actions, or Jenkins, and infrastructure-as-code concepts is desirable.

लाभ

  • Flexible working arrangements with fully remote, office-based, and hybrid options.
  • Professional development through internal training and a dedicated training budget.
  • Structured, hands-on onboarding.
  • A collaborative atmosphere with colleagues passionate about their work.
  • Opportunities to change projects over time.

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