Cloud Engineer

CHINA MOBILE HONG KONG COMPANY LIMITED ("CMHK") is the wholly-owned subsidiary of China Mobile Limited (HKEx: 941), which ranks 53rd on the Fortune Global 500.

Our company is dedicated to delivering an exceptional service experience and to become a world-class sci-tech service enterprise, focusing on its three principal businesses of communications services, computing services and AI services. Guided by this vision, we cultivate a culture of trust, responsibility, and care — creating an environment where people can thrive. At CMHK, we are committed to unlocking human potential and empowering every striver to achieve success. We now invite high-caliber professionals to join us on this journey.


Department: Transmission Network，Internet Network and Cloud Infrastructure Support & Maintenance

In this position, you will:

• Responsible for the deployment, delivery, capacity expansion, upgrade, migration/cutover, and O&M support of general computing and AI cloud projects, ensuring projects go live on schedule and operate stably.

• Handle the installation, configuration, resource management, performance optimization, and troubleshooting of IaaS infrastructure, including compute, virtualization, network, storage, and GPU resources.

• Manage the deployment, upgrade, and O&M of PaaS components, including Kubernetes, databases, caching, message middleware, API gateways, big data, and AI platforms.

• Oversee the delivery and O&M of AI computing clusters, covering heterogeneous computing, high-performance networking, distributed storage, resource scheduling, multi-tenant isolation, and auto-scaling.

• Build and maintain cloud platform systems for monitoring, logging, alerting, inspection, capacity management, backup/recovery, disaster recovery, and emergency response.

• Conduct performance stress testing, fault localization, and root cause analysis for cloud platforms; resolve complex technical issues in compute, network, storage, container, and AI training/inference processes.

• Drive the standardization and automation of delivery and O&M processes; develop implementation plans, operation manuals, emergency response plans, acceptance materials, and technical knowledge bases

• Collaborate with product and enterprise delivery teams to conduct requirement analysis, solution reviews, technical validation, customer training, and on-site technical support.

To be successful in this position, you should meet the following requirements:

• Bachelor’s degree or above in Computer Science, Software Engineering, Information Systems, Communication Engineering, or related fields.

• 3+ years of experience in cloud platform and infrastructure delivery/O&M, with end-to-end implementation experience in private cloud projects.

• Proficient in at least one mainstream cloud platform or private cloud product, such as Huawei Cloud, Alibaba Cloud, AWS, Azure, OpenStack, Apsara Stack, or Huawei Cloud Stack.

• Deep understanding of IaaS technologies, including servers, virtualization, bare metal, VPC, routing, load balancing, VPN, and block, file, and object storage.

• Proficient in Kubernetes architecture and O&M, including cluster deployment, node management, CNI, CSI, Ingress, container runtimes, and high-availability configurations.

• Familiar with the deployment and O&M of databases, caching, message middleware, API gateways, big data platforms, and DevOps/CI/CD toolchains.

• Familiar with heterogeneous computing (e.g., GPUs), RDMA/RoCE high-performance networking, distributed storage, and resource scheduling. Prior experience in AI computing centers or large-scale GPU clusters is preferred.

• Understanding of AI model training, inference, and basic MLOps workflows. Prior experience with Ascend, CUDA, PAI, ModelArts, or similar AI platforms is preferred.

• Solid capabilities in monitoring/alerting, capacity planning, performance stress testing, backup/disaster recovery, root cause analysis, and emergency response for critical failures.

• Cloud-related certifications, such as Huawei Cloud Solution Architect, Alibaba Cloud Solution Architect, or AWS Solutions Architect, are highly preferred.

• Strong customer communication, technical documentation, and on-site troubleshooting skills, with the ability to adapt to project delivery and necessary business travel. Certifications in cloud computing or Kubernetes are preferred.
  

When you work:

• 5 days work

• 8 hours/day

What you enjoy:

• Discretionary Performance bonus

• Life insurance

• Medical insurance

• Meal allowance

• Education subsidies

• Birthday gift

• Marriage leave

• Birthday leave

Please submit your application to us by clicking the APPLY NOW button and send your full resume with your availability, current and expected salary to us. If you do not hear from us within 8 weeks after the application, you may assume that your application has not been successful.

CMHK is committed to be an equal opportunity employer. We offer exceptional benefits package and the opportunity to work in a challenging environment. Personal data provided by applicants will be treated strictly in accordance with our personal data policy and for recruitment purposes only.