# 后端开发工程师—Python方向

岗位职责： 1. 负责公司SaaS平台（Django）的日常维护和版本迭代，持续优化系统性能和代码质量； 2. 主导平台的数据工作流优化和高性能数据结构设计，深入理解业务流程，针对问题输出可量化的解决方案； 3. 熟练使用AI工具（Cursor/Copilot/Claude等）驱动开发全流程，包括需求分析、任务拆解、编码实现、自测验收和上线交付； 4. 持续关注行业前沿技术，结合业务场景引入合适的创新方案。 任职要求： 1. 统招全日制本科及以上学历，1-3年后端开发经验，计算机相关专业； 2. 扎实的Python功底，熟悉Django/Flask/FastAPI框架，有独立完成模块设计到上线的经验； 3. 有AI应用开发经验，或具备强烈的学习意愿和快速上手能力； 4. 代码风格良好，有重构意识和责任心，能对自己的产出质量负责。

- **Id**: 3761891
- **Url**: <https://alion.io/job/aotakeji-houduankaifagongchengshi-pythonfangxiang>
- **Role**: Backend
- **Role family**: Backend
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Hangzhou, China
- **Countries**: CN
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-04T06:03:15Z
- **Last verified at**: 2026-11-04T06:03:15Z
- **Board verified**: no
- **Days open**: 5
- **Description format**: text
- **Description chars**: 378
- **Description truncated**: no
- **Relocation offered**: no

## Company

- **Id**: 4510067
- **Name**: 青塔科技
- **Url**: <https://alion.io/company/Aotakeji>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

## Salary

- **Min**: 15000
- **Max**: 25000
- **Currency**: CNY
- **Period**: month
- **Usd annual**: 45048

## Technologies

- **Django** — Optional: no
- **Python** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 5

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-04T18:37:30Z

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 4
- **Expected fill days**: 25
- **Reasons**: seen:4, win:early
- **Computed at**: 2026-11-09T06:03:00Z

## Pay

- **Stated usd annual**: 45048
- **Is top pay**: no

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[Page](https://alion.io/job/aotakeji-houduankaifagongchengshi-pythonfangxiang) · [JSON](https://alion.io/job/aotakeji-houduankaifagongchengshi-pythonfangxiang.json)

Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.
