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Nscale

Develops and operates AI data centers

OT Network Subject Matter Expert

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical discipline, or equivalent practical experience.
  • At least 5 years of experience supporting industrial or operational technology networks in manufacturing, industrial, utilities, or mission-critical environments.
  • Strong understanding of industrial networking concepts, including EtherNet/IP, managed switches, VLANs, routing and switching fundamentals, network segmentation, and redundancy design.
  • Experience supporting PLC and SCADA environments and understanding how operational technology network design affects system performance and availability.
  • Familiarity with operational technology cybersecurity practices, including segmentation, access control, patch coordination, and secure remote support.
  • Experience supporting field testing, commissioning, and troubleshooting of industrial network infrastructure.

Responsibilities

  • Support the design and review of operational technology network architectures, including EtherNet/IP, VLAN segmentation, zone-based design, managed switches, firewall boundaries, and redundancy strategies for critical facilities.
  • Validate operational technology network designs for resilience, determinism, maintainability, and elimination of single points of failure, including review of PRP, DLR, or equivalent redundancy topologies where applicable.
  • Review vendor and system integrator network designs, switch configurations, addressing plans, cabinet layouts, and documentation for compliance with Nscale operational technology design standards.
  • Coordinate with cybersecurity teams to ensure operational technology network segmentation, remote access controls, firewall policies, authentication requirements, and secure operational practices are implemented.
  • Participate in factory acceptance testing, site acceptance testing, commissioning, and failover testing for operational technology network infrastructure, including switch redundancy, network recovery, and communications validation between PLC and SCADA layers.
  • Support troubleshooting of operational technology network performance, configuration, or communications issues during deployment and live operations.
  • Partner with SCADA, controls, and information technology teams to ensure clean interfaces between the operational technology network, control system devices, and upstream monitoring platforms.
  • Maintain network documentation, including topology diagrams, VLAN and IP plans, firewall rules, redundancy diagrams, standards, and turnover records.
  • Support operations under the 20% operations support model, including management of change approval, patch testing, dispatch, and ticketing; the role is 80% project-loaded.

Desired Qualifications

  • Experience with PRP, DLR, or similar industrial redundancy protocols.
  • Experience supporting data center BMS, EPMS, or other critical infrastructure operational technology networks.
  • Hands-on familiarity with industrial networking vendors such as Cisco Industrial, Stratix, Hirschmann, or similar platforms.
  • CCNA, industrial networking certification, or equivalent technical credentials.

About the Company

Nscale

Develops and operates AI data centers

Nscale provides end-to-end AI infrastructure by designing, owning, and operating data centers, GPU compute, networking, storage, and managed AI cloud services for enterprises, governments, and AI developers. It offers a full stack from colocated data centers to high-performance GPUs and networking, plus managed cloud services, so customers can run AI workloads efficiently with sovereign European deployments powered by renewables and US campus expansions. Unlike many peers, Nscale combines complete infrastructure ownership with a focus on sovereign, renewable-powered sites and strong capital partnerships to support large-scale, secure AI workloads. Its goal is to become a leading, scalable AI infrastructure provider that enables governments, enterprises, and AI builders to deploy and run AI applications quickly and securely on sovereign data centers with global capacity.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$9.8B
Headquarters
London, United Kingdom
Founded
2024

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