
201 - 500 employees
Founded 2011
🤝 B2B
📡 Telecommunications
🔧 Hardware
B2B • Telecommunications • Hardware
CodiLime is a software and network engineering services company that partners with networking hardware vendors, software providers, and telecommunications firms to create proofs-of-concept, develop new products, and support production environments. Founded in 2011 and grown to 300+ employees, the company specializes in network automation, low-level systems programming, observability, DevOps, and cybersecurity, serving clients worldwide (US, Japan, Israel, Europe). CodiLime primarily operates as a B2B service provider to tech startups and large industry players.
🔥 0 minutes ago
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201 - 500 employees
Founded 2011
🤝 B2B
📡 Telecommunications
🔧 Hardware
B2B • Telecommunications • Hardware
CodiLime is a software and network engineering services company that partners with networking hardware vendors, software providers, and telecommunications firms to create proofs-of-concept, develop new products, and support production environments. Founded in 2011 and grown to 300+ employees, the company specializes in network automation, low-level systems programming, observability, DevOps, and cybersecurity, serving clients worldwide (US, Japan, Israel, Europe). CodiLime primarily operates as a B2B service provider to tech startups and large industry players.
• 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 maximum throughput, minimal latency, and minimal Job Completion Time (JCT) • Conduct performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and NCCL • Use AI agents and specialized tools to automate network tasks, testing, and network telemetry analysis • Author and maintain technical documentation covering network designs, configurations, and benchmarking results • Work within an Agile, startup-environment project team serving a US-based client
• 7+ years of professional experience in network engineering • Preferably 3+ years specifically focused on data center network design and architecture • Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP • Deep understanding of AI-dedicated data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with practical experience configuring and deploying them • Proven experience configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs) • Deep understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) • Ability to tune and optimize network environments, including switch buffer tuning and Quality of Service (QoS) policies • Experience conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL) • Ability to leverage AI agents/tools to automate tasks, testing, and analysis • Strong technical documentation skills and professional English communication • Professional-level certifications such as CCNP/CCIE Enterprise/DC, JNCIP or equivalent are nice-to-haves • Hands-on experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is nice-to-have • Exposure to GitLab CI, GitHub Actions, Jenkins, and IaC concepts is nice-to-have
• Flexible working hours and approach to work: fully remotely, in the office or hybrid • Professional growth supported by internal training sessions and a training budget • Solid onboarding with a hands-on approach • A great atmosphere among professionals who are passionate about their work • The ability to change the project you work on
Apply Now🕒 3 days ago
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