滴滴资深软件开发工程师(JR2026061000F)
社招全职5年以上技术地点:北京状态:招聘
任职要求
1. 计算机基础扎实,深入理解数据结构与算法,具备复杂问题的分析与抽象能力; 2. 5年以上Java开发经验,精通Redis、Elasticsearch、MongoDB等NoSQL技术栈,能主导中大型项目的架构设计与核心模块开发,具备独立攻坚及现有系统深度重构的能力。有互联网高并发、高可用项目经验优先; 3.…
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工作职责
1. 围绕着企业出行,针对企业商旅等业务构建TOB侧的资金清结算解决方案进行系统开发与运维,解决客户和供应商的出账对账、开票认款等业务场景的问题; 2. 负责相关产品功能子领域的研发工作,包括方案设计、代码实现、测试上线等项目过程; 3. 具有一定的数据分析和逻辑判断能力,思路清晰,具备较强的问题解决能力,参与产品流程设计沟通,推动完善产品能力; 4. 具备出色的沟通能力,有团队合作精神,与各业务方和协作部门进行高效的沟通。
包括英文材料
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统,是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
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