jobs in 中國移動

全职 Planning - Resources Operations Manager 工作, 薪水, 中國移動 Hong Kong 公司招聘中 - Ricebowl

Planning - Resources Operations Manager

中國移動

Hong Kong

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工作地点

  • Hong Kong Hong Kong

职位描述

岗位职责

Job Responsibilities

  • Lead the formulation and dynamic adjustment of the company's long-term computing power network development plan, ensuring that infrastructure construction aligns with the company's digital transformation and AI business development goals.
  • Serve as the interface person to liaise with the Group's Computing Power Office, implementing resource allocation requirements at both national and group levels, and ensuring that regional planning stays synchronized with the overall strategy.
  • Oversee the unified management, scheduling, and operations of regional traditional IDC, AI Data Centers (AIDC), and intelligent computing resources. Analyze business needs and technology trends to develop science-based capacity expansion plans, capacity forecasting models, and resource allocation plans, ensuring elastic and stable computing power supply.
  • Evaluate the suitability of various technology stacks (operating systems, databases, AI frameworks, etc.) in cloud and computing power environments, and formulate resource orchestration and disaster recovery strategies.
  • Responsible for the statistics and monitoring of core business metrics, including computing power resource utilization, Power Usage Effectiveness (PUE), and Return on Investment (ROI). Through deep data mining and analysis, identify operational bottlenecks, propose optimization initiatives, and continuously enhance the operational efficiency and market competitiveness of computing power assets.

Job Requirements

  • Bachelor's degree or above, preferably in Computer Science, Artificial Intelligence, Big Data, or a related field.
  • 5+ years of relevant working experience.
  • Familiar with cloud-native architecture; proficient in mainstream cloud platform components, including server virtualization, OpenStack, and Kubernetes (K8s).
  • Understanding of GPU/NPU computing cluster architecture, High-Performance Computing (HPC), and high-speed interconnect networking (e.g., RoCE).
  • Strong in system documentation writing and architecture design, able to produce structured planning reports and technical blueprints.

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