滴滴高级研发工程师Go 北京(JR2026051200I)
社招全职技术地点：北京状态：招聘♡ 收藏
工作描述
任职要求 1、计算机基础扎实：包括网络、操作系统、数据结构与算法。 2、编码能力强：熟练掌握 Golang，代码规范性良好；熟悉 Flink/Spark。 3、设计经验丰富：具备架构师意识和大规模系统设计经验、分布式存储/计算经验、高负载/高并发/高可用架构经验。 4、对 AI 技术有热情：有 AI 编程（Copilot/Cursor/Claude Code 等）深度使用经验者优先；有 AI Agent 开发经验（LangChain、AutoGPT、MCP 协议等）或 RAG/Function Calling 相关实践者优先。 5、善于利用 AI 提升效率：不只是写代码，更善于用 AI 手段…
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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/
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程！从开始到结束不到一个小时，包括如何在Go中构建API的完整演示。没有多余的内容，只有你需要知道的知识。
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
高负载+
https://dev.to/m0n0x41d/highload-saga-the-fundamentals-4kj4
In the modern big tech world, there are titans among mortal, tiny applications, and the common name for such titans is "Highload applications."
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