Mechanical Services Lead: Liquid Cooling for Data Centers

CDC

Melbourne

On-site

AUD 140,000 - 190,000

Full time

31 hours ago
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Benefits offered by this job

CDC Academy
CDC Day
Parental Leave
Volunteer Leave
Employee Assistance Program
CDC Social Events

Job summary

CDC Data Centres is seeking an experienced Mechanical Services Lead to shape performance and resilience of our ANZ cooling infrastructure across a growing data centre portfolio. The role focuses on liquid cooling, CDUs, SFNs and related systems, providing expert input across operations, projects, upgrades and modernisation.

You will work across lifecycle stages to identify improvements and resolve complex issues.

Qualifications

  • 3+ years' experience across data centres, industrial buildings, or other critical infrastructure environments.
  • Strong knowledge of cooling infrastructure including air-cooled chillers, AHUs, pumps and VSDs.
  • Experience with liquid cooling technologies such as CDUs and SFNs is highly regarded.

Responsibilities

  • Act as a subject matter expert across mechanical and cooling infrastructure for the portfolio.
  • Support development and evolution of liquid cooling solutions and associated infrastructure.
  • Assess designs and upgrades to ensure resilience and operational suitability.
  • Analyse and troubleshoot performance issues with internal teams and external partners.
  • Contribute to commissioning, lifecycle planning and modernisation across data centres.
  • Share knowledge, strengthen standards and mentor others.

Skills

Mechanical engineering
Cooling infrastructure
Liquid cooling
CDUs & SFNs
HVAC systems
High-density compute
Stakeholder engagement

Job description

CDC Data Centres is seeking an experienced Mechanical Services Lead to shape performance and resilience of our ANZ cooling infrastructure across a growing data centre portfolio. The role focuses on liquid cooling, CDUs, SFNs and related systems, providing expert input across operations, projects, upgrades and modernisation.

You will work across lifecycle stages to identify improvements and resolve complex issues.

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