Employment prospect of cloud computing technology

The employment prospects of cloud computing technology are as follows:

From the perspective of talent demand, many large Internet companies have focused on the construction of cloud computing-related talents on service platforms, and there is an urgent need for a large number of technical researchers, including application-level posts and R&D posts. It can be seen that the development prospect of cloud computing is still great, but there are also challenges.

Cloud computing has a good employment prospect. After learning cloud computing technology, students can join many industries and companies, such as finance, banking, transportation, IT Internet, government departments, and professional cloud computing service companies such as Baidu Cloud, Alibaba Cloud and Tencent Cloud.

Therefore, there are many employment directions of cloud computing, and all walks of life are ok. Moreover, for the development of cloud computing industry, the state has issued many assistance policies, with the aim of accelerating the development of cloud computing industry in a good direction.

Secondly, the market scale of cloud computing is also growing, which will generate more technical posts, as well as more employment opportunities and development space.

In addition, the salary of cloud computing work is very high. As a new digital industry, cloud computing is a high-paying technology, and jobs with a monthly salary of tens of thousands are common.

According to the data of relevant recruitment websites, the monthly salary of junior cloud computing engineers generally starts from 9000 yuan, while the monthly salary of technicians with certain work experience can easily reach 16K or above.

Expand knowledge:

Cloud computing needs to learn Linux operating system application, virtualization technology, Java programming, OpenStack system application, Hadoop distributed application, data storage technology and cloud platform management system;

Cloud data center construction and operation, cloud storage product configuration and application, big data platform and big data analysis, cloud security product configuration and application, etc.

The specific course content is divided into six stages: basic stage, Linux basic stage, Linux advanced stage, database management stage, virtualization cloud architecture stage and big data cloud architecture stage.