Production Engineer - Network Development

Metric

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

24 hours ago
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Job summary

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.

Qualifications

  • 3+ years working with physical data center infrastructure.
  • Experience developing automation tools in Go and Python and knowledge of network monitoring (NETCONF, SONiC, gNMI and gRPC).
  • Experienced in AI tooling, knowledge of large-scale datacenter fabrics and out-of-band network management.

Responsibilities

  • Own network health: Define realtime monitoring requirements, create dashboards to show on-call engineers a true show of the state of the network across sites.
  • Build debugging tools: Link cross-fleet diagnostics, command execution and repair visualization.
  • Automate repair: Integrate the network failure process from detection to recovery.
  • Own growth, reliability and operation of large-scale networks.

Skills

Data center infrastructure
Automation (Go)
Automation (Python)
Network monitoring
AI tooling

Tools

Go
Python
NETCONF
SONiC
gNMI
gRPC

Job description

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%


The Role


  • Own network health: Define realtime monitoring requirements, create dashboards to show on-call engineers a true show of the state of the network across sites

  • Build debugging tools: Link cross-fleet diagnostics, command execution and repair visualization

  • Automate repair: Integrate the network failure process from detection to recovery

  • Own growth, reliability and operation of large-scale networks


Experience


  • 3+ years working with physical data center infrastructure

  • Experience developing automation tools in Go and Python and knowledge of network monitoring (NETCONF, SONiC, gNMI and gRPC)

  • Experienced in AI tooling, knowledge of large-scale datacenter fabrics and out-of-band network management


Please note, visa sponsorship cannot be provided for this role.

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