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A leading AI-first Cloud infrastructure company seeks a Senior Staff Network Traffic Engineer to design and optimize high-performance networks. You will mentor engineers and implement advanced traffic engineering solutions in a sustainable environment, significantly impacting AI technology deployment.
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Join to apply for the Senior Staff Network Traffic Engineer role at Crusoe
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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 Senior Staff Network Traffic Engineer, you will serve as a technical lead for Crusoe’s traffic engineering initiatives. You’ll design scalable architectures for Layer 4/7 load balancing, global ingress, CMAF, FaaS, and WAF, and guide the development of tools, automation, and observability systems. You’ll mentor engineers, influence cross-team design decisions, and help define best practices for reliability and performance.
A Day in the Life:
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