Réf.: a0MaA000000zSc5.1_1758038871

Data Center Specialist - Iceland

Ísland

Description du poste

Data Center Specialist - Iceland

a0MaA000000zSc5.1_1758038871

Are you passionate about building the infrastructure that powers the future of AI?

We are seeking a talented Data Centre Specialist (Deployment Engineer) to join a rapidly growing, innovative cloud provider focused on delivering high-performance GPU infrastructure for AI-driven organisations.

You'll play a key role in designing, planning, and deploying large-scale GPU infrastructure projects across Europe. This is a hands-on position where you'll be responsible for everything from reviewing technical specifications to physically laying out hardware in data centres.

Key Responsibilities

* Design and layout IT equipment within data centres, ensuring optimal use of space and maintainability.
* Review and validate Bills of Materials (BOMs) for compatibility and project requirements.
* Ensure all deployments adhere to data centre environment maximums (power, cooling, weight).
* Develop structured cabling designs and oversee cable pathing, length estimation, and ordering.
* Define and enforce deployment standards.
* Collaborate with engineering teams to ensure consistent, high-quality deployments.
* Configure firewalls, routers, and initial switch setups.
* Act as the onsite subject matter expert during deployments.

About You

Essential Skills & Experience:

* Advanced knowledge of structured and fibre cabling (including AOC/DAC/optics and fibre interface standards).
* Strong working knowledge of network and server hardware.
* Experience creating and reviewing BOMs.
* Significant previous data centre experience.
* Familiarity with CMDB tooling (e.g., Netbox).
* Excellent attention to detail and documentation skills.
* Strong written and verbal communication.
* Proactive, self-starter attitude with a problem-solving mindset.
* Experience designing and implementing processes.

Desirable:

* Python and Ansible skills.
* Experience with Infiniband fabrics.
* Understanding of fat tree or rail-optimised designs for AI workloads.
* Ability to perform performance-level diagnostics on AI fabric.

Why Join Us?

* Be part of a culture that values innovation, ownership, and accountability.
* Work on cutting-edge infrastructure projects that directly impact the future of AI.
* Join a diverse, inclusive, and supportive team environment.