[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All China Telecom jobs](https://jobs.opennash.com/companies/china-telecom/) · [Search jobs](/search/)

China Telecom · 其它

# 无线网络运营工程师（下属县）

其它 

Listed on China Telecom’s official careers site. Posted August 20, 2026. Check that it is still open and apply there.
[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=133071&recruitType=1&brandCode=1&columnId=1)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Telecom](https://jobs.opennash.com/companies/china-telecom/) / 无线网络运营工程师（下属县）

## Job description

### Responsibilities
- 负责无线网络质量及性能数据采集、监测和分析工作；
- 负责无线网络规划、建设或者维护工作；
- 负责无线网络运行数据的监控、评估和分析工作，识别网络性能问题，基于分析结果制定并实施优化提升方案；
- 负责预测网络发展趋势，制定并实施网络容量和覆盖规划建议；
- 负责重大活动无线网专项保障工作；
- 负责无线网络投诉处理、分析，制定投诉解决方案并实施。

### Requirements
- 具有较强的组织、沟通、协调、抗压能力，良好逻辑思维和文字组织能力，具有较强的问题分析能力及独立解决能力，工作责任心强，具备良好的团队意识及协作精神。具有较强的心理承受力和环境适应性，能吃苦耐劳、踏实工作；具有一定的创新意识；
- 具有相关工作（实习）经验者优先考虑；
- 愿意长期与企业共同成长，并努力实现个人价值。

## At a glance
- Posted by the employer: Aug 20, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 59 days
- Location: 其它[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=133071&recruitType=1&brandCode=1&columnId=1)

## More jobs at China Telecom

### [AI/大模型应用开发工程师](https://jobs.opennash.com/companies/china-telecom/jobs/f3074af22d1cd03ab932/)

其它

### [AI开发工程师(省人工智能中心）](https://jobs.opennash.com/companies/china-telecom/jobs/059a6e88c4f7c1d53d0c/)

其它

### [AI开发工程师（下属县）](https://jobs.opennash.com/companies/china-telecom/jobs/dccb78454b9435d8dcfc/)

其它

### [AI开发工程师（省智能云网业务运营中心）](https://jobs.opennash.com/companies/china-telecom/jobs/ebf255c20bcca5c3fdbc/)

其它

### [AI算法工程师](https://jobs.opennash.com/companies/china-telecom/jobs/297ea8175931b5848a18/)

其它

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
