Cloud Computing Engineer简历模板

During college, systematically studied the core courses of Computer Science and Technology, including Data Structure, Algorithm Design, Operating System, Computer Network, etc. Through course learning and practical projects, cultivated a solid theoretical foundation and strong programming ability. Actively participated in various science and technology competitions and club activities organized by the school, exercising team collaboration and communication skills.

• Responsible for the architecture design and optimization of the company's cloud computing platform, formulated reasonable technical solutions according to business needs, ensuring the high performance, high availability and scalability of the platform.
• Participated in the research and selection of cloud computing-related technologies, such as virtualization technologies (KVM, VMware), container technologies (Docker, Kubernetes), etc., introduced new technologies to enhance the competitiveness of the platform.
• Led the team to complete the deployment and maintenance work of the cloud computing platform, ensured the stable operation of the platform 7×24 hours, and handled various sudden failures and performance problems.
• Closely cooperated with the product team, understood business needs, transformed them into technical implementations, promoted the migration of multiple business systems to the cloud computing platform, and improved the business online efficiency by more than 30%.

• Participated in the development of the company's private cloud platform, used Python language to develop automated deployment scripts and management tools, improving the deployment efficiency by 50%.
• Responsible for the development of the resource management module of the cloud platform, realized the dynamic allocation and recycling of resources such as virtual machines, storage, and networks, optimizing the resource utilization rate by 20%.
• Collaborated with the testing team to carry out functional testing, performance testing and stability testing of the cloud platform, wrote test cases, tracked and fixed various defects.
• Continuously followed the dynamics of the cloud computing industry and the development of new technologies, provided suggestions and solutions for the technical upgrade of the company's cloud platform.

• This project aims to build a set of big data analysis platform based on public cloud for enterprises. As a core member, responsible for the architecture design and implementation of the cloud computing part.
• Adopted AWS's EC2, S3, EBS and other services to build computing nodes, storage nodes and network architecture. By optimizing the EC2 instance type and configuration, the computing resource cost was reduced by 15%.
• Implemented the automatic backup and recovery mechanism of data, and used the version control function of S3 to ensure the security and traceability of data.
• Collaborated with the big data team to complete the integration test and performance tuning of the platform, enabling the platform to support the analysis and processing of TB-level data per day.

• Participated in the company's hybrid cloud migration project, migrating some business systems from the traditional data center to the hybrid cloud environment.
• Responsible for formulating the migration plan, evaluating the compatibility and migration risk of business systems. Using cloud migration tools, realized the smooth migration of business systems, and controlled the business interruption time within 30 minutes during the migration process.
• Optimized the hybrid cloud network architecture to achieve high-speed and secure communication between private cloud and public cloud. By configuring firewall policies and VPN connections, ensured the security of data transmission.
• Monitored the running status of business systems after migration, collected performance data, and carried out optimization adjustments, reducing the system response time by 20%.