Network Engineer, Reliability & Observability

Job description

About Fluidstack At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We work with Anthropic, Google, Meta, AMI Labs, and Black Forest Labs to deploy gigawatts of compute at industry defining speeds. We are investing tens of billions of dollars in US infrastructure. In 2026, we will deploy 1GW. In 2027, 10GW. Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here. There are a few thousand people who will shape the trajectory of superinteligence. Come and be one of them. About the Role: Fluidstack is seeking a Network Engineer, Reliability & Observability to serve as a reliability engineer championing and building process, data collections, and reliability metrics with the objective of improving the quality and reliability of AI networks from deployment through the full lifecycle of operations. This role is focused on developing processes, systems, tools, data and data pipelines, and observability to improve the quality of networks and deliver automated metrics (24x7) as well as periodic reliability reports...