Network Technician
Amazon Data Services HongKong
Hong Kong, Hong Kong, HKG

We are looking to hire a self-motivated player to join growing the infrastructure operations. The candidate will work with minimum supervision in a dynamic environment to drive the stability of our networks and to develop innovative ways to scale our network as we expand.

The successful candidate will :

  • Work across several data center locations and be responsible for day-to-day assistance with capacity management.
  • Work closely with both internal customers and external vendors to facilitate smooth project execution by Technical Program Managers.
  • The ideal candidate would have strong interest with the networking and show the willingness and aptitude to quickly become skilled candidate in Infrastructure Delivery Department.

    Upon completion of this 6-month trainee program, successful candidate will be considered to convert to AWS full-time employee.


  • Final year or graduated within 12-month period of the University, Higher Diploma or an equivalent level of education
  • Interested in Data Center Operation Networking
  • Good written and verbal communication skills in English
  • Good attention to details
  • Knowledge

  • Majoring in Information Technology / Computer Science / Networking or related disciplines is a plus
  • Understanding IT hardware and basic computer / network concepts
  • Ability to collaborate and partner to overcome challenges
  • Ability to adapt to changes in a dynamic work environment
  • Experience in Microsoft office applications
  • Relevant Coursework in using Network Technologies
  • Knowledge in TCP / IP Protocol, Single-mode / Multi-mode fiber and cooper cable.
  • Knowledge in OSI model 7 layers.
  • Knowledge on data center operations, processes and continuous processes improvement
  • Familiarity with common networking terms
  • Capable of troubleshooting networking, routing and inter connectivity issues.
  • Other Qualifications & Responsibilities

  • Experience dealing with customers during problem resolution and operating efficiently under pressure.
  • Effective prioritization and time management.
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