Who are we?

At Technimove, we’re passionate about transforming the way the world’s leading IT service providers manage their data centres. As the market leader in Data Centre Transformations, we deliver high-quality Professional Services and Data Centre Migrations for global clients, from ambitious start-ups to some of the most recognisable names in tech.

Our secret weapon? Our people. Known as our TechniPeople, we’ve built a diverse, supportive, and ambitious team that thrives on collaboration, innovation, and passion. Some of our colleagues have been with us for over a decade, while many others are just starting their journey — but all share the same energy, drive, and love for what we do.

We’re looking for an experienced Senior Infrastructure Engineer / Consultant to join our Professional Services team and work on complex enterprise infrastructure projects for our customers.

You’ll bring strong hands-on experience across virtualisation, compute, storage and enterprise infrastructure, with expertise in technologies such as VMware, Hyper-V, Nutanix and/or Proxmox.

This is a hands-on, customer-facing role where you’ll be involved in designing, deploying, migrating, troubleshooting and supporting infrastructure environments — from initial discovery and solution design through to implementation and handover.

What makes this role different?

Our AI infrastructure capabilities are growing, and this role offers the opportunity to develop specialist skills in NVIDIA GPU infrastructure, AI compute, Kubernetes and AI Factory environments.

You don’t need to have built large-scale GPU or AI clusters already. We’re looking for someone with strong infrastructure fundamentals, technical curiosity and a genuine interest in where AI infrastructure is heading.

What you'll be doing

Design, build and support enterprise infrastructure across compute, virtualisation, storage and container platforms

Work with VMware vSphere, Nutanix AHV, Microsoft Hyper-V and/or Proxmox VE

Design and support enterprise storage including SAN, NAS, Fibre Channel, iSCSI and NFS

Administer and troubleshoot Linux and Windows Server environments

Deploy and support Kubernetes and containerised workloads

Produce HLDs, LLDs, migration plans, implementation plans and technical documentation

Lead and support infrastructure migrations, upgrades and technology refresh projects

Work directly with customers through discovery sessions, technical workshops and solution design

Collaborate with sales and pre-sales teams on technical solutions and SOWs

Troubleshoot complex infrastructure issues and work with vendors where required

Share knowledge and provide technical guidance to other engineers

Continue developing your expertise across AI infrastructure, automation and emerging data centre technologies

What we're looking for

You’ll have strong experience working with enterprise infrastructure and be confident getting hands-on with complex technical environments.

We're particularly interested in people with experience across:

Enterprise virtualisation — VMware, Nutanix, Hyper-V and/or Proxmox

Enterprise compute and physical server infrastructure

SAN, NAS, Fibre Channel, iSCSI and NFS

Linux and Windows Server

Kubernetes and container technologies

Infrastructure design and technical documentation

Complex troubleshooting across compute, storage, virtualisation and operating systems

Customer-facing consultancy and implementation

Infrastructure networking fundamentals

Experience with vSphere/VCF, vSAN, NSX, Nutanix AOS/Prism, HCI, enterprise storage, backup/DR, Ansible, Terraform, PowerShell, Python or public cloud would be advantageous.

Experience with NVIDIA DGX/HGX, NVIDIA AI Enterprise, GPU Operator, Base Command Manager or AI Factory environments is also a bonus — but not essential.

Who you are

You’re a technically curious infrastructure professional who enjoys solving complex problems and getting stuck into new technology.

You’ll be comfortable working directly with customers, taking ownership of technical delivery and explaining complex concepts to different audiences. Most importantly, you’ll be keen to learn, develop and build expertise in the next generation of AI infrastructure.