Location: Ballasalla, Isle of Man, on-site
Employment type: Full-time (37 hours a week), Permanent
Salary: Competitive; tailored to individual candidates’ assessed experience and capability
Applications: Open on a rolling basis
Start date: Immediate / flexible for the right person

Danucore is building high-performance AI compute infrastructure on the Isle of Man: bare-metal GPU servers, high-density NVMe storage, fast networking, and the physical systems needed to run serious AI workloads reliably.

We’re looking for practical, technically curious people who love hardware and are obsessed with AI.

You might already have years of experience in large-scale compute, networking, Linux infrastructure, HPC, or GPU servers.

Or you might be the person who builds gaming PCs, runs a homelab, fixes everyone’s machines, experiments with NAS boxes, switches, firewalls, Proxmox, Linux, GPUs, water cooling, or anything with cables and blinking lights.

Both routes are valid.

What matters most is that you are careful, hands-on, curious, and genuinely interested in making complex infrastructure work properly.

The Role at Each Level

We are recruiting one engineer now, at whichever level fits best: from a junior engineer who wants structured training and mentoring, through to an experienced infrastructure engineer who can help design standards, lead deployments, optimise systems, and shape the way Danucore builds AI compute.

Junior AI Infrastructure Engineer

For someone with strong practical skills, a love of hardware, and the desire to learn quickly.

You may have experience from:

Building gaming PCs or workstations
Running a homelab
Building NAS/storage systems
Installing Linux
Configuring routers, switches, firewalls, or Wi-Fi networks
Repairing PCs, laptops, servers, or electronics
Helping with IT support or small business infrastructure

You don’t need to know everything already. You do need to care, learn fast, follow instructions, document properly, and take pride in clean, reliable work.

AI Infrastructure Engineer

For someone already comfortable with servers, networking, Linux, and physical infrastructure.

You’ll be involved in:

Building, testing, and deploying GPU servers and storage nodes
Maintaining and improving compute, networking, and storage systems
Managing server interfaces, power, cooling, and cabling
Monitoring infrastructure health and performance
Troubleshooting hardware and network issues

Senior AI Infrastructure Engineer / AI Infrastructure Lead

For someone who can take ownership of larger parts of the infrastructure build.

You may help define:

Rack layouts
Server build standards
Burn-in and test procedures
Networking and cabling standards
Storage architecture
Provisioning processes
Monitoring and alerting
Spares and maintenance procedures
Power, cooling, and operational resilience
Deployment planning and team leadership

This is a hands-on role, not a purely managerial one. We want senior people who still like being close to the machines.

What You’ll Work On

Bare-metal GPU servers
High-density NVMe storage systems
Linux server builds
High-performance networking
BMC/IPMI/iDRAC-style management interfaces
Structured cabling and labelling
Burn-in testing and diagnostics
Firmware, BIOS, and hardware configuration
Power distribution, rack layout, and cooling considerations
Monitoring, maintenance, and operational procedures
Physical security, spares, asset tracking, and documentation

These are real infrastructure roles. Some days you may be configuring Linux and networking. Other days you may be racking heavy servers, tracing cables, testing GPUs, updating firmware, or diagnosing a strange hardware fault.

Key Responsibilities

Depending on experience level, responsibilities may include:

Assemble, rack, cable, configure, and maintain GPU and storage servers
Install GPUs, NVMe drives, RAM, NICs, rails, PDUs, fans, and related hardware
Perform hardware burn-in, stress testing, diagnostics, and quality assurance
Install and configure Linux operating systems and server management tools
Configure BIOS, firmware, RAID/HBA settings, BMC, IPMI, iDRAC, iLO, or Redfish-style interfaces
Install, test, label, and manage copper and fibre network cabling
Support GPU, storage, management, and high-speed network fabrics
Maintain clean, tidy, safe, and well-documented infrastructure spaces
Build repeatable checklists for server deployment, testing, repair, and maintenance
Troubleshoot hardware, network, power, cooling, and performance issues
Support the day-to-day running of our AI compute infrastructure, including access control, spares, physical security, cooling, and power
Optimise power consumption and contribute to energy-efficient practices
Work with software, AI, and systems engineers to make the infrastructure faster, more reliable, and easier to operate

What We’re Looking For

We’re interested in people who have some of the following:

Strong practical hardware skills
Experience building PCs, servers, workstations, NAS systems, or homelabs
Understanding of CPUs, GPUs, RAM, NVMe, PCIe, NICs, PSUs, fans, cooling, and cabling
Comfort working with Linux, or a serious willingness to learn
Basic networking knowledge: IP addresses, switches, VLANs, DHCP, DNS, routing, copper, fibre
Methodical troubleshooting skills
Careful documentation habits
Pride in clean cabling, tidy racks, labelled equipment, and repeatable processes
Ability to work on-site in Ballasalla
Right to work in the Isle of Man (or eligibility for an appropriate work permit)
Willingness to do physical infrastructure work, including lifting, racking, cabling, and working in plant/server spaces
Calmness under pressure when systems need fixing

Formal qualifications are useful, but they are not the main filter. Practical ability, curiosity, reliability, and care matter more.

Nice to Have

None of these are essential, but they would be useful:

Experience with GPU servers or AI/ML infrastructure
Large-scale compute, MSP, telecoms, enterprise IT, or HPC experience
Linux administration
Proxmox, Kubernetes, Docker, Ansible, Terraform, MAAS, Foreman, Cobbler, or PXE provisioning
ZFS, Ceph, RAID, NVMe, object storage, or distributed storage
High-speed networking: 10G, 25G, 40G, 100G, InfiniBand, Omni-Path, fibre optics
Monitoring tools such as Prometheus, Grafana, Netdata, Zabbix, LibreNMS, or similar
Scripting in Bash, Python, or PowerShell
Experience with iDRAC, iLO, IPMI, Redfish, or vendor server management tools
Understanding of power, cooling, airflow, UPS systems, PDUs, and rack design
Electrical, mechanical, cooling, or facilities awareness

The Kind of Person Who Will Thrive Here

You probably:

Like solving awkward practical problems
Notice when cables are messy
Get annoyed when machines are badly labelled
Enjoy making things faster, cleaner, safer, and more reliable
Read specs before buying hardware
Have strong opinions about airflow
Can follow a process but also improve it
Are happy learning from people who know more than you
Are also happy teaching people who know less than you
Care about doing things properly, not just getting them working once
Have a genuine interest in AI and can demonstrate using AI tools to increase productivity

You do not need to be polished corporate IT. You do need to be dependable, careful, honest about what you know, and serious about learning.

Why Join Danucore?

Danucore is building infrastructure for the next wave of AI: practical, efficient, sovereign, high-performance compute that can be deployed and operated from the Isle of Man.

This is a chance to join early and help build the physical foundation: the servers, networks, storage, racks, power, cooling, processes, and operational discipline that make advanced AI possible.

You will not just be maintaining someone else’s finished system. You’ll help create the system.

For junior people, this is a rare route into AI infrastructure without needing a traditional big-tech background.

For experienced people, this is a chance to shape a serious compute platform from the ground up.

For the right hardware-obsessed person, this could be the perfect job.

How to Apply

Apply through the Danucore candidate portal:

Begin application

No CV is needed to apply. The application is a conversation with an AI assistant about your hands-on experience, typically 20 to 45 minutes. Have your work history to hand, and your LinkedIn profile or links to public work (GitHub, homelab write-ups, build photos). Shortlisted candidates are asked for a full CV. Applications are open on a rolling basis.

Problems with the application? Email jobs@danucore.com.

Equal opportunities

Danucore is committed to equality of opportunity and welcomes applications from all suitably qualified candidates. Reasonable adjustments are made for applicants with disabilities.

Your information and how we decide

The assessment is a conversation with an AI assistant. We record the conversation, your name and contact details, and any links you choose to share, and we use them only to consider you for a role at Danucore. The portal uses AI to assess your answers against the experience the role needs and to rank applications; it also checks for answers that appear to have been written by AI. The AI does not decide. At each review, a member of the Danucore team looks at every application on the ranked list, with the AI’s summary, and decides who is shortlisted; shortlisted applications are then read in full by the manager recruiting for the role. We keep application records for six months after you apply and delete them at our next monthly review. If you would like us to keep your details for up to two years so that we can contact you about other roles, email jobs@danucore.com. You can also email jobs@danucore.com at any time to ask what we hold about you, to have it corrected or deleted, or to ask for a person to look again at any outcome. Danucore Limited is the data controller, under Isle of Man data protection law. We use your information to consider your application, at your request, and in Danucore’s legitimate interest in recruiting the right people. It is held on Danucore’s own servers in the Isle of Man and the UK, and the AI assessment runs on Danucore’s own systems; we do not share it with anyone outside Danucore unless the law requires us to. The six-month limit applies to the conversation transcript as well as the rest of your application. If you are unhappy with how we have handled your information, you can complain to the Isle of Man Information Commissioner.

AI Infrastructure Engineer, Junior to Senior