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A leading tech company in AI cloud infrastructure is seeking a Staff Network Traffic Engineer to design and implement cutting-edge network solutions. The ideal candidate has over 7 years of experience and is proficient in various networking technologies, contributing to innovative and sustainable technology initiatives.
Join to apply for the Staff Network Traffic Engineer role at Crusoe
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Join to apply for the Staff Network Traffic Engineer role at Crusoe
Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.
Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.
About This Role
Crusoe Cloud Network Engineering team is looking for an ambitious, experienced team player to join our Network Engineering team. Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High Performance Compute (HPC) Clusters with GPUs. The ideal individual will be highly motivated, self-directed, and excited to work on cutting-edge technologies. You must possess strong analytical and communication skills and be a great team player.
As a Staff Network Traffic Engineer, you will design and implement technical solutions focused on Layer 4 load balancing, Layer 4/7 acceleration, global ingress, CMAF, FaaS, and WAF. You will collaborate with stakeholders to translate business needs into scalable architectures and develop automation and tooling to support our growing platform. This is a hands-on, execution-focused role that will give you deep experience in edge, backbone, and HPC-based data center networking.
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