Data Center Site Technician / Team Lead (Contract) x 30
ExternalFull-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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Company Intel
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