Cloud NOC Engineer (L1–L2) — GPU, Linux & 24/7 Support

Bitdeer

Johor Bahru

On-site

MYR 60,000 - 80,000

Full time

14 days+
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Job summary

Bitdeer is seeking a Cloud Operations & Support Engineer to join our public-cloud GPU platform. You will handle customer tickets, monitor platform health, and respond to alerts across regions, ensuring SLA targets are met.

You should have 1+ years in cloud/technical support, solid Linux and networking knowledge, and familiarity with GPUs, CUDA, containers, and VM/bare metal environments. Shift work and a proactive, methodical approach are valued.

Qualifications

  • 1+ years in cloud / technical support or IT operations.
  • Solid Linux, networking and cloud fundamentals.
  • Strong written English and calm under incidents.

Responsibilities

  • Handle customer support tickets and requests: intake, triage, troubleshooting, resolution, and clear status communication within SLA targets.
  • Monitor platform health and respond to alerts (NOC first response): acknowledge, assess severity, initiate incident handling, and post customer-facing updates.
  • Troubleshoot issues across GPU instances, VM/bare metal, networking, drivers/CUDA, storage, and billing/quota using runbooks.
  • Escalate cleanly along the chain with full context; ensure ownership of every ticket/alert.
  • Maintain and improve runbooks, knowledge base, and canned responses.
  • Participate in a follow-the-sun 7×24 shift rotation across regions.
  • Track and report ticket/alert metrics (response time, resolution time, MTTA).

Skills

Linux basics
Networking basics
Cloud basics
Troubleshooting
Customer communication

Tools

CUDA
Containers
VM / bare metal
Storage

Job description

Bitdeer is seeking a Cloud Operations & Support Engineer to join our public-cloud GPU platform. You will handle customer tickets, monitor platform health, and respond to alerts across regions, ensuring SLA targets are met.

You should have 1+ years in cloud/technical support, solid Linux and networking knowledge, and familiarity with GPUs, CUDA, containers, and VM/bare metal environments. Shift work and a proactive, methodical approach are valued.

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