智能互联数据技术及产品部-AI Data系统工程架构师-杭州
社招全职5年以上技术-基础平台地点：杭州状态：招聘
工作描述
任职要求 1. 拥有计算机科学、信息技术或相关领域的硕士或博士学位。 2. 具备大规模分布式系统研发经验，熟悉spark/flink等大数据系统，熟悉Kubernetes架构和生态，熟悉Docker/Containerd/Kata/Podman等容器技术。 3. 对 AI 系统工程（如迭代模式、端到端系统设计、工程框架、性能建模等）有比较深刻的理解，至少熟练掌握一种常见的深度学习框架，包括但不限于PyTorch， vLLM、TensorFlow等框架。 4…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
学历+
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
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.
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.
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
containerd+
https://github.com/containerd/containerd/blob/main/docs/getting-started.md
containerd has built-in support for Kubernetes Container Runtime Interface (CRI).
https://www.youtube.com/watch?v=cr1062-s8x4
On this talk, you are going to learn about one of the most important technologies used in the container and Kubernetes space.
https://www.youtube.com/watch?v=u1LeMndEk70
In this video we talk about three key technologies that enable Kuberntes.
Podman+
https://www.youtube.com/watch?v=5WML8gX2F1c
You've almost certainly heard of Docker, but what about Podman? It's an open source alternative container engine based on the same OCI standard.
https://www.youtube.com/watch?v=YXfA5O5Mr18
Docker is not the only tool available for creating containers and container images. There is also Podman!
还有更多 •••
相关职位
社招3年以上技术类-算法
1. 具备 RL/Post-Training 研究或机器学习Applied Scientist 相关经历，理解 Reward Modeling 基本原理及 Reward 信号设计对 RL 训练（PPO
更新于 2026-09-02北京|杭州
社招3年以上综合类-公司事务
1、学历要求：硕士及以上学历，博士优先。计算机科学、人工智能等相关专业，有海外知名院校留学背景（美国名校尤佳）者优先。 2、AI基础与前沿技术敏感度：深入理解大模型技术&数据的发展趋势，大模型（LLM
更新于 2026-07-10杭州
社招3年以上技术类-数据
1. 计算机、信息安全、物理、数学相关专业硕士及以上学历。 2. 具备优秀的工程能力，熟悉至少一种主流开发语言（Go、Java、Python 等）。 3. 扎实的密码学基础，熟悉对称/非对称加密、密钥
更新于 2026-09-02杭州
社招5年以上技术类-开发
1. 硕士及以上学历，计算机、人工智能等专业优先，优秀者条件可适当放宽。 2. 具备平台或大数据研发经验，精通Java、Python中至少一种，工程质量与系统设计能力扎实。 3. 具备分布式、微服务与
更新于 2026-07-29北京|杭州