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Operation Planning Engineer

China Mobile International

Kuala Lumpur

On-site

MYR 60,000 - 80,000

Full time

Today
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Job summary

A leading telecommunications company in Kuala Lumpur is seeking a skilled computing resource manager to optimize and plan computing resources. Candidates should possess at least a Bachelor's degree in relevant fields and more than three years of experience in data center operations. Strong skills in Linux and scripting languages like Python are essential. The role involves collaborating across teams to enhance resource utilization and conducting demand forecasting. Competitive compensation and opportunities for growth are offered.

Qualifications

  • Bachelor's degree or above in Computer Science, Electronic Engineering, or related majors.
  • More than 3 years of experience in computing resource management, data center operation, cloud computing, or large-scale cluster scheduling.
  • Familiar with Linux operating system, proficient in script programming (Python, Shell).
  • Familiar with scheduling, performance analysis, and optimization methods for computing resources.
  • Possess good data analysis capabilities for resource planning.
  • Strong communication and collaboration skills to coordinate across teams.
  • Familiar with the advantages and disadvantages of intelligent computing product vendors.
  • Experience in computing operation, FinOps, and resource monitoring.

Responsibilities

  • Responsible for planning and optimizing computing resources for efficiency.
  • Conduct demand forecasting and resource allocation to support business growth.
  • Monitor and analyze computing clusters and propose optimization solutions.
  • Participate in cost analysis and resource procurement recommendations.
  • Collaborate on scheduling strategies and operation standards.
  • Evaluate new technologies to support resource expansion.
Job description
Responsibilities
  • Responsible for the planning, scheduling, and optimization of the company's computing resources (Graphic processing unit, Central Processing Unit, storage, etc.) to ensure the efficient utilization of computing resources.
  • Conduct computing demand forecasting, capacity planning, and design resource allocation solutions to support the rapid business growth.
  • Perform operation monitoring and analysis on computing clusters, data centers, and cloud platform resources, and propose optimization solutions.
  • Participate in computing resource cost analysis, budget management, and procurement recommendations to improve the overall resource utilization rate.
  • Collaborate with R&D, operation and maintenance, and product teams to formulate computing scheduling strategies, operation standards, and usage processes.
  • Participate in the evaluation of new technologies and architectures to provide decision support for the expansion and upgrading of computing resources.
Requirements
  • Bachelor's degree or above in Computer Science, Electronic Engineering, or related majors.
  • More than 3 years of experience in computing resource management, data center operation, cloud computing, or large-scale cluster scheduling.
  • Familiar with Linux operating system (operating system used on servers), proficient in script programming (Python (programming language), Shell (command interface), etc.); experience in automated operation and maintenance is preferred.
  • Familiar with scheduling, performance analysis, and optimization methods for Graphic Processing Unit, Central Processing Unit, storage, and network resources.
  • Possess good data analysis capabilities and be able to drive resource planning and decision-making through data.
  • Have strong communication and collaboration skills, and be able to coordinate computing resource requirements across teams and vendors.
  • Familiar with the industry ecosystem, advantages, and disadvantages of domestic and foreign intelligent computing product vendors.
  • Have experience in computing operation, FinOps, and cluster (group of connected server) resource monitoring, and be able to independently complete operation reports.
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