Infrastructure Operations Manager (Narvik)
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Role Overview
We are looking for an experienced Team Lead to take overall responsibility for the devices and infrastructure in our AI Data Center. The Data Centre Operations Manager will ensure operational excellence, oversee personnel, maintain critical infrastructure, and meet client-driven SLA and KPI requirements. Reporting to the Head of Infrastructure Operations, this role involves close collaboration with internal teams, clients, and external vendors. It also includes on-call duties and occasional travel to other sites as business needs arise.
What You'll be Doing
Site & Infrastructure Management
Overall accountability for all devices, systems, and infrastructure at the data center.
Ensure 24/7 operational reliability and optimal performance for high-performance AI workloads.
Monitor and manage power, cooling, and environmental conditions, addressing any operational risks proactively.
Oversee installation, configuration, and maintenance of HPC and GPU systems.
Team Leadership & Development
Lead and mentor a team of engineers, technicians, and support staff.
Provide training and guidance to junior staff, ensuring the team is equipped to manage site operations effectively.
Plan and manage shift schedules to guarantee continuous coverage and on-call availability.
Client & Vendor Relations
Serve as the primary POC for clients, providing regular reporting on site SLA and KPI’s
Collaborate with vendors and contractors to manage procurement, repairs, and upgrades.
Build and maintain strong relationships to ensure smooth operation and project delivery.
Inventory & Resource Management
Manage spare parts inventory, ensuring sufficient stock levels to minimize downtime during repairs or upgrades.
Track usage and coordinate procurement to avoid supply shortages.
Technical Expertise
Maintain a strong working knowledge of HPC and GPU installations, including hardware configuration, network architecture, and performance optimization.
Troubleshoot and resolve technical issues, escalating complex problems when necessary.
Stay updated on emerging trends and technologies in AI and HPC infrastructure.
Operational Monitoring & Reporting
Implement and manage tools to monitor data center performance and resource utilization.
Prepare detailed reports for senior management and clients on performance metrics, downtime, and operational efficiency.
Propose and implement improvements to enhance reliability, scalability, and cost-effectiveness.
About You
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years of experience managing data centers, particularly in HPC and GPU environments.
Proven leadership skills with experience managing and developing teams.
Technical expertise in HPC, GPU deployment, and associated hardware/software solutions.
Strong understanding of power, cooling, and environmental systems in data centers.
Excellent client-facing communication and reporting skills.
Experience with inventory and spare parts management.
Nice to Have:
Certifications in data center management (e.g., CDCP, CDCS, or similar).
Hands-on experience with NVIDIA GPUs, CUDA, and AI frameworks.
Familiarity with hybrid cloud/HPC environments.
Work Environment & Requirements
Based on-site at the data center with occasional travel to other locations as required.
Participate in an on-call rotation to respond to urgent operational issues.
Commitment to continuous learning to stay ahead of evolving technologies and standards.
What We Can Offer You
You’ll have the opportunity to help shape the operating standards behind a next-generation AI cloud platform, working on complex infrastructure challenges with real ownership and impact. This is a chance to play a meaningful role in scaling high-performance, sustainable data centre operations in a fast-moving environment.
Equal Opportunities Statement
At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Full Job Posting
About The Role
We are looking for an experienced Team Lead to take overall responsibility for the devices and infrastructure in our AI Data Center. The Data Centre Operations Manager will ensure operational excellence, oversee personnel, maintain critical infrastructure, and meet client-driven SLA and KPI requirements. Reporting to the Head of Infrastructure Operations, this role involves close collaboration with internal teams, clients, and external vendors. It also includes on-call duties and occasional travel to other sites as business needs arise.
What You'll be Doing
Site & Infrastructure Management
Overall accountability for all devices, systems, and infrastructure at the data center.
Ensure 24/7 operational reliability and optimal performance for high-performance AI workloads.
Monitor and manage power, cooling, and environmental conditions, addressing any operational risks proactively.
Oversee installation, configuration, and maintenance of HPC and GPU systems.
Team Leadership & Development
Lead and mentor a team of engineers, technicians, and support staff.
Provide training and guidance to junior staff, ensuring the team is equipped to manage site operations effectively.
Plan and manage shift schedules to guarantee continuous coverage and on-call availability.
Client & Vendor Relations
Serve as the primary POC for clients, providing regular reporting on site SLA and KPI’s
Collaborate with vendors and contractors to manage procurement, repairs, and upgrades.
Build and maintain strong relationships to ensure smooth operation and project delivery.
Inventory & Resource Management
Manage spare parts inventory, ensuring sufficient stock levels to minimize downtime during repairs or upgrades.
Track usage and coordinate procurement to avoid supply shortages.
Technical Expertise
Maintain a strong working knowledge of HPC and GPU installations, including hardware configuration, network architecture, and performance optimization.
Troubleshoot and resolve technical issues, escalating complex problems when necessary.
Stay updated on emerging trends and technologies in AI and HPC infrastructure.
Operational Monitoring & Reporting
Implement and manage tools to monitor data center performance and resource utilization.
Prepare detailed reports for senior management and clients on performance metrics, downtime, and operational efficiency.
Propose and implement improvements to enhance reliability, scalability, and cost-effectiveness.
About You
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years of experience managing data centers, particularly in HPC and GPU environments.
Proven leadership skills with experience managing and developing teams.
Technical expertise in HPC, GPU deployment, and associated hardware/software solutions.
Strong understanding of power, cooling, and environmental systems in data centers.
Excellent client-facing communication and reporting skills.
Experience with inventory and spare parts management.
Nice to Have:
Certifications in data center management (e.g., CDCP, CDCS, or similar).
Hands-on experience with NVIDIA GPUs, CUDA, and AI frameworks.
Familiarity with hybrid cloud/HPC environments.
Work Environment & Requirements
Based on-site at the data center with occasional travel to other locations as required.
Participate in an on-call rotation to respond to urgent operational issues.
Commitment to continuous learning to stay ahead of evolving technologies and standards.
What We Can Offer You
You’ll have the opportunity to help shape the operating standards behind a next-generation AI cloud platform, working on complex infrastructure challenges with real ownership and impact. This is a chance to play a meaningful role in scaling high-performance, sustainable data centre operations in a fast-moving environment.
Equal Opportunities Statement
At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
About nscale
Builds scalable AI cloud infrastructure, offering GPU compute and platform services for machine learning workloads.
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