Centre of Excellence Senior Engineer

About the role

The Centre of Excellence Senior Engineer will define, standardise, and improve operational processes across Nscale's global data centre estate. This role involves leading complex infrastructure projects, driving operational efficiency, and providing technical leadership to ensure service reliability. The successful candidate will collaborate with cross-functional teams to shape the future operating model of the company's AI infrastructure.

Responsibilities

• Lead complex infrastructure projects, including hardware installations, upgrades, and operational improvement initiatives.
• Drive standardisation across the global data centre estate by developing repeatable operational processes and best practices.
• Take ownership of complex infrastructure incidents from diagnosis through to resolution and conduct root cause analysis.
• Provide technical leadership and mentorship to operations teams across multiple locations.
• Partner with cross-functional teams on capacity planning and infrastructure optimisation initiatives.
• Own the creation and continuous improvement of operational documentation, standards, and runbooks.
• Travel to data centre sites to support deployments, resolve complex technical issues, and improve operational excellence.

Required skills

• Infrastructure operations
• Data centre management
• Incident management
• Root cause analysis
• Technical leadership
• Capacity planning
• Infrastructure optimisation

Nice to have

• Hyperscale infrastructure
• HPC
• AI infrastructure
• NVIDIA GPU infrastructure
• Server deployment

Qualifications

• 5+ years of experience in a technical infrastructure, data centre, or operations environment
• Extensive experience working within large-scale data centre environments

Benefits

• Flexible workplace
• Dynamic progression plan

About the Company

Nscale is a GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. The company focuses on reducing the complexity of AI development to support strategic business outcomes like rapid innovation and environmental responsibility.