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Data Center Site Technician / Team Lead (Contract) x 30

External
Cygnify logoCygnify · Johor Bahru, Malaysia
Full-timeRemote2d ago
AuditingFiber
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Responsibilities

  • Personnel deployed for this project will be responsible for the following on-site tasks:
  • Physical Auditing: Verify and judge server U positions, PDU wiring configurations, switch U positions, and switch ports within the data center racks.
  • Asset Inventory: Identify and log idle Active Optical Cables (AOCs) located both on and inside the server racks.
  • Data Logging: Utilize proprietary tools and platforms provided by the client to accurately record all audited data.
  • Reporting: Provide real-time feedback and structured reports on inventory findings to team leaders and client stakeholders.
  • Performance & SLA Requirements:
  • Productivity Baseline: An estimated average of 50 server racks per person per day based on a standard 8-hour workday.
  • Team Output Target: The combined 30-person team is required to successfully complete 1,500 server racks per day.
  • Quality Standard: A strict accuracy rate of 99% (rounded down to the nearest 1%) is required for all logged data.

Requirements

  • Experience & Skills
  • Technical Expertise: Proven experience and relevant skillset in data center environments, hardware deployment, or infrastructure auditing.
  • Hardware Familiarity: Strong understanding of server racks, U positions, network switches, PDU wiring, and fiber/AOC cabling.
  • Language & Team Composition Requirements
  • The 30-person team will be structured into 3 teams (10 members per team - 1 TL, 9 technicians) adhering to the following language criteria:
  • Team Leaders: Must be fully bilingual and proficient in both Chinese and English (verbal and written).
  • Team Members: Proficiency in Chinese language is highly preferred.
  • #LI-JE1

Additional Information

Our FinTech client is seeking a deployment of approximately 30 Data Center Engineers to perform a comprehensive physical audit and inventory validation across specified data centers. The team will be divided into 3 teams of 10 personnel each to achieve high-volume, high-accuracy data collection.


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