Datacenter Deployment Engineer

We're looking for a Datacenter Deployment Engineer.

This role will be responsible for the planning and organising of physical deployments, you will be engaged in the design and layout of large scale GPU infrastructure projects. This will range from ensuring BOMs are complete and compatible, through to laying out the physical hardware in racks, cabling, and everything inbetween.

What You'll be Doing

• Layout of IT equipment inside the datacenters

• Taking BOMs and ensuring all hardware fits into available space, applying best practice to ensure day two maintainability.

• Ensuring Datacenter environment maximums are adhered to

• Power

• Cooling

• Weight limits

Reviewing BOMs for interoperability

• Ensuring optics/AOC/DAC are fit for purpose
• Ensruing BOMs meet customer specifications
• Ensuring BOMs meet Nscale project requirements

Structured cable designs Defining and ensuring deployment standards Cable pathing, length estimation and ordering Working with Engineering teams for ensuring consistent deployments Configure firewalls/routers for initial use Work on initial switch base configurations Onsite subject matter expert during deployments, The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role

• Advanced knowledge of Structured Cabling
• Advanced knowledge of Fibre Cabling
• Strong working knowledge of Network/server hardware
• Experience creating/reviewing BOM's
• Significant previous datacenter experience
• Knowledge of CMDB tooling
• Strong attention to detail
• Strong communication skills both written and verbal
• Self starter. See a problem fix a problem mentality
• Experience of designing and implementing process
• Strong documentation skills

Nice to Have:

• Python
• Ansible
• Working knowledge and experience of using Infiniband fabrics
• Working knowledge of fat tree or rail-optimised designs for AI workloads
• Ability to perform performance level diagnostics on AI fabrics

• Highly competitive package (base + equity) with reviews every 12 months.
• Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
• Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
• Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. At Nscale, our Deployment team plays a critical role in driving the delivery of our GPU infrastructure into our DCs. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future