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Metric is building the network infrastructure to scale AI compute to 10 GW and operates large-scale GPU dense data centres. The role focuses on real-time monitoring, debugging tools, and automating repair across multiple sites in a London-based environment with a preference for onsite work.
The successful candidate will own network health, develop tooling in Go and Python, and contribute to reliability and operations of vast datacenter fabrics.
Metric are partnered with a fast growing Neocloud building high-performance AI infrastructure to power the world's most advanced AI models. Through the development and operation of large-scale GPU dense data centres, this company enables Frontier labs, governments and businesses to push technological boundaries.
The team is building the network infrastructure needed to scale AI compute to 10 GW. This means taking network faults to closed tickets, automating the entire repair lifecycle from detection to resolution, and creating monitoring platforms from scratch to deliver real-time visibility, reliability, and operational excellence across a rapidly expanding fleet.
Contract: Permanent
Onsite: Preference would be onsite as much as possible in London, minimum 10%
Please note, visa sponsorship cannot be provided for this role.