
201 - 500 employees
Founded 2011
đ€ B2B
đĄ Telecommunications
đ§ Hardware
B2B âą Telecommunications âą 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.
đ„ 3 minutes ago
đ”đ± Poland â Remote
đ” zĆ22k - zĆ30k / month
âł Contract/Temporary
đ Senior
đ·đ»ââïž Engineer
đ» Ghost score 1%
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201 - 500 employees
Founded 2011
đ€ B2B
đĄ Telecommunications
đ§ Hardware
B2B âą Telecommunications âą 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.
âą Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs) âą Implement and tune RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) for AI workloads âą Optimize network environments for maximum throughput, minimal latency, and minimal Job Completion Time (JCT) âą Conduct performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL) âą Use AI agents and specialized tools to automate routine network tasks, perform testing, and analyze network telemetry âą Author and maintain technical documentation covering network designs, configurations, and benchmarking results âą Work as part of an Agile project team in a startup environment on a US-client project
âą 7+ years of professional experience in network engineering âą Preferably 3+ years specifically focused on data center network design and architecture âą Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP âą Deep understanding of AI-dedicated data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with practical hands-on configuration and deployment experience âą Proven experience configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs) âą Deep understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) âą Experience tuning switch buffers and implementing Quality of Service (QoS) policies âą Experience conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL) âą Ability to leverage AI agents/tools to automate tasks, testing, and analysis âą Strong technical documentation skills and professional English communication âą Professional-level certifications such as CCNP/CCIE Enterprise/DC, JNCIP, or equivalent are nice-to-haves âą Hands-on experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is a nice-to-have âą Exposure to GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is a nice-to-have
âą Flexible working hours and approach to work: fully remotely, in the office or hybrid âą Professional growth supported by internal training sessions and a training budget âą Solid onboarding with a hands-on approach to give you an easy start âą A great atmosphere among professionals who are passionate about their work âą The ability to change the project you work on
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