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Ping An Insurance Group · 深圳市

# 大数据AIOps工程师

深圳市 

Listed on Ping An Insurance Group’s official careers site. Posted January 19, 2026. Check that it is still open and apply there.
[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=7BAB09A2693D4A54BBCE71B93F9FD0D4)

[OpenNash Jobs](https://jobs.opennash.com/) / [Ping An Insurance Group](https://jobs.opennash.com/companies/ping-an-insurance/) / 大数据AIOps工程师

## Job description

岗位职责
- 构建和完善大数据平台各组件的统一监控告警体系，整合系统层、组件层、业务层指标。利用时间序列分析、机器学习算法，实现监控指标的异常检测、动态基线告警，降低误报和漏报。
- 设计并开发大数据自动化运维平台，实现集群部署、扩容、升级、配置变更的自动化与标准化，常见故障的自动发现与自愈（如节点故障自动隔离、数据均衡等）。
- 完善现有建立集群容量模型，实时跟踪资源使用率，预测未来资源需求，为扩容提供数据支撑。
- 建立故障知识库，对历史故障进行沉淀和管理，基于运维数据进行数据挖掘，发现潜在风险和优化点。 任职资格
- 计算机相关专业本科及以上学历，3年以上大数据平台运维或SRE经验，有实际的AIOps项目落地经验，对智能运维体系有深刻理解和浓厚兴趣。
- 深入理解Linux操作系统、网络、存储，熟悉Ansible/Puppet等自动化配置管理工具。
- 熟练掌握Hadoop, HBase, Kafka, Elasticsearch, ClickHouse等至少两种组件的部署、配置、监控和常见故障处理。
- 掌握至少一门编程语言（Python/Go/Java），能够进行运维工具和平台开发。了解常见的机器学习算法（如聚类、分类、回归、时间序列预测）并有应用经验，熟悉TensorFlow或PyTorch等框架者优先。
- 具备强烈的责任心、缜密的逻辑思维和系统性解决问题的能力， 对数据敏感，有通过数据驱动运维改进的意识。

## At a glance
- Posted by the employer: Jan 19, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 274 days
- Location: 深圳市[Apply on Ping An Insurance Group’s careers site →](https://talent.pingan.com/recruit/position.html?positionId=7BAB09A2693D4A54BBCE71B93F9FD0D4)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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