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Nothing in this Public License constitutes or may be interpreted as a + limitation upon, or waiver of, any privileges and immunities that apply + to the Licensor or You, including from the legal processes of any + jurisdiction or authority. \ No newline at end of file diff --git a/README.md b/README.md index 6b1bcdb..c3cf431 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ # 准备过程 -我自己是本科毕业后再老东家干了两年多，老东家算是一家"小公司"(毕竟这年头没有 BAT 或 TMD 的 title 都不好意思报出身)，毕业这两年多我也没有在大厂待过，因此找坑的时候是非常非常虚的。迫于心慌，我好好思考了一阵来给自己打气，当时真正找坑和准备面试的过程大概分为这几个阶段： +我自己是本科毕业后在老东家干了两年多，老东家算是一家"小公司"(毕竟这年头没有 BAT 或 TMD 的 title 都不好意思报出身)，毕业这两年多我也没有在大厂待过，因此找坑的时候是非常非常虚的。迫于心慌，我好好思考了一阵来给自己打气，当时真正找坑和准备面试的过程大概分为这几个阶段： - 反思：自己是不是真的要离职，假如不离职，在老东家接下来应该做什么才能继续提升？ - 定位：我在硬性技能（编码、架构）上的长处在哪？我在软技能（沟通，团队）上的长处在哪？这步顺带写了简历 @@ -22,7 +22,7 @@ `定位`这一步其实花了好几天时间，我先是梳理了自己的项目经历和工作内容的专长，把 Java + Golang，做过的面比较广（业务，中间件，基础架构都做过）以及对 k8s 云原生有专长和兴趣作为自己的"硬招牌"。然后把学习能力强，喜欢沟通合作，渴望挑战作为我的"软招牌"，最后把自己定位成一个"在过往经历中展现出了过人学习能力和钻研能力，同时渴望挑战，不愿意呆在舒适区"的形象（妈呀打这段话的时候太羞耻了！！！）。 -这个过程中，我的方法论是"换位思考"。我自己也面试过不少人（所以平时公司让我去面试，虽然累点苦点，但也都是积累呀），并且也和 HR 以及放出 HC 的业务方聊过我们希望放什么样的人进来。因此全程都在以面试官的心态来考察自己： +这个过程中，我的方法论是"换位思考"。自己过去也面试过不少人（所以平时公司让我去面试，虽然累点苦点，但也都是积累呀），并且也和 HR 以及放出 HC 的业务方聊过我们希望放什么样的人进来。因此全程都在以面试官的心态来考察自己： > 假如我是面试官，我会招怎样的人进来做我的同事？ @@ -34,7 +34,7 @@ * **什么样的行为会让我"讨厌一份简历"**：把每个项目都大写特写，尤其是陈述细节没有重点；罗列框架当能力，用过了一类场景的框架就觉得能解决一类业务诸如此类； * **面试的时候我会偏向于问哪些问题**？一是简历上写了"理解"或"精通"的语言与中间件；二是简历上写得比较有趣，又没有完全交代清楚的项目； -`定位`之后，我要找的下一个位置基本锁定在了 PaaS、云原生、中间件方向。那接下来就是找坑了，这段时间"寒冬论"炒的火热，好坑确实挺难找，最后兜兜转转找了四家的内推：Shopee（新加坡）、PingCAP、头条、蚂蚁。Shopee 那边挺遗憾的，12月初投完简历1月初才收到答复约面，而当时另几家面试已经临近尾声，于是选择了推掉。 +`定位`之后，我要找的下一个位置基本锁定在了 PaaS、云原生、中间件方向。那接下来就是找坑了，这段时间"寒冬论"炒的火热，好坑确实挺难找，最后兜兜转转找了四家的内推：Shopee（新加坡）、PingCAP、头条、蚂蚁。Shopee 那边挺遗憾的，12月初投完简历后在1月初进行的第一轮 HR Screen，而当时另几家面试已经临近尾声，于是选择了推掉，后来确认是12月 Shopee 正好在休假，会说中文的 HR 都恰好不在，这也算是机缘巧合了😆Shopee 给我的感觉（虽然只有一面）是非常为员工考虑，HR 小姐姐很客观地帮我梳理了很多去新加坡会带来的利弊得失。大家假如对 Shopee 感兴趣，浩松老师 [@haosdent](https://github.com/haosdent) 本人就出现在了 issue 区，可以去找找看😆 这几家的简历投递出去之后，我着重把简历里"埋的几个坑"，也就是自己写了"理解并掌握"的语言与中间件以及专门用来勾引面试官问的项目好好复习了一遍。事后发现这一步还挺关键的，很多知识性的内容要是不复习一下真就全忘了，这也算临阵磨枪，不快也光了吧。 @@ -305,12 +305,13 @@ PingCAP 的简历响应是最快的，内推之后第二天 HR 小姐姐就联 - 面试官：我们觉得你做过的东西挺多的，各个方向都想让你尝试一下 (我的内心：......) - 我：那这轮是最后一轮技术面吗？ - 面试官：不一定（我的内心：......) +- 后续还问了面试官一些业务相关的问题，就不赘述了 五面最后的三个吹水问题我还挺感兴趣，可惜面试官只是听我讲，没有跟我讨论。还有就是问了面试官才知道，二面四面的面试官是 PaaS 平台那边的，因此主要问 Java 没有涉及到 k8s 和 go。 ## 六面 -HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否适合阿里的风格），而且有一票否决权。所以还是挺有压力的。 +HR 面，之前就**听说**过阿里系的 HR 是来"闻味道的"（看你是否适合阿里的风格），而且有一票否决权。所以还是挺有压力的。 - 问经历 - 为什么要考虑出来看看呢？ @@ -335,7 +336,7 @@ HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否 * 面试体验：正常 * 问题偏向：基础知识，开发常识，技术见解 -蚂蚁的面试风格比较"高冷"。面试内容上对基础知识看得挺重，没有偏门和猎奇的问题，基础知识扎实的同学可以大胆投投看蚂蚁。 +蚂蚁的面试风格比较"高冷"，面试官给我的一致感受就是很强，卧虎藏龙。面试内容上在基础知识部分相对考察得多一些，没有偏门和猎奇的问题，基础知识扎实的同学可以大胆投投看蚂蚁。 # 头条 @@ -384,8 +385,8 @@ HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否 - 在 Redis 里存储每个 API 的令牌桶 key，假如存在这个 key，则需要按上述逻辑进行限流 - 某一个业务中现在需要生成全局唯一的递增 ID, 并发量非常大, 怎么做 - snowflake (这个其实答得不好，snowflake 无法实现全局递增，只能实现全局唯一，单机递增，面试结束后就想到了类似 TDDL 那样一次取一个 ID 段，放在本地慢慢分配的策略） -- 算法题, M*N 横向递增矩阵找指定数 - - 只想到 O(M+N)的解法 +- 算法题, M*N 横向纵向均递增的矩阵找指定数 + - 只想到 O(M+N)的解法 **补充**: 这几天刷 leetcode 碰到这题了, [240. Search a 2D Matrix II](https://leetcode.com/problems/search-a-2d-matrix-ii/). 办法是从左下角或右下角开始查找. - 有什么想问我的? 限流，分布式锁，UUID 都属于后端的经典面试题，这轮面试的参考价值挺大的。 @@ -424,7 +425,7 @@ HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否 - 查 A in () AND B in () 时, MySQL 是怎么利用索引的? - 先走一个非聚簇索引，查询出行数据后再用另一列回表做筛选 - 假如查询 A in (), MySQL 是针对 N 个值分别查一次索引, 还是有更好的操作? - - 不知道，有了解的同学可以留言 + - 不知道，有了解的同学可以留言 (补充, [@BillyLu](https://github.com/BillyLu) 贴出了文档 [equality-range-optimization](https://dev.mysql.com/doc/refman/8.0/en/range-optimization.html#equality-range-optimization), 大意是对非唯一索引 MySQL 会使用 index dive 的方式估算这个 range index 涉及的行数, 结合[where optimization](https://dev.mysql.com/doc/refman/5.7/en/where-optimization.html) 中说明的在走 index 时假如涉及行数过多会走 full table scan, 那么假如 estimation 认为这次 IN 不够好, 是会走全表扫描的. 不知道除此之外, 面试官还有没有想考察的点) - 用过 Redis 的哪几种数据结构? (都用过) ZSET 是怎么实现的? - 跳表 - zrange start, stop, 总长度为 n, 复杂度是多少? @@ -457,7 +458,7 @@ HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否 - 假如用 id 翻页的方式, 数据库表如何设计? 索引如何设计? - (文章id, 评论id) 建联合索引，评论 id 需递增 - 假如量很大, 你觉得需要分库分表吗? 怎么分? - - 需要分，分表有个权衡，按文章 id 分表，读逻辑简单，但写有热点问题；按评论 id 分表，读逻辑复杂，但写压力就平均了。写是要首先保证的，而读总是有缓存等方案来折中，因此按平均 id 分表好。 + - 需要分，分表有个权衡，按文章 id 分表，读逻辑简单，但写有热点问题；按评论 id 分表，读逻辑复杂，但写压力就平均了。写是要首先保证的，而读总是有缓存等方案来折中，因此按评论 id 分表好。 - 分库分表后怎么查询分页? - 每张表查 N 条数据由 client 或 proxy merge - 分库分表后怎么保证主键仍然是递增的? @@ -511,4 +512,16 @@ HR 面，之前就听说过阿里系的 HR 是来"闻味道的"（看你是否 * 算法相关，这部分我纯鶸，说实话我觉得大学里那本教材《数据结构与算法分析》就写得很不错...至于 leetcode，面试前没有刷过，最近为了练习 Rust 刷了60多题，并没有碰到面试里出现过的题目，看起来要刷 leetcode 的话就得走量多刷点，刷的少纯拼强运了； * [Golang for range 的坑](https://studygolang.com/articles/9701) 有两轮面试都涉及到了这个话题，这里贴一下； +repo 关闭了 issue 功能, 您可以在 [我的博客](https://aylei.github.io/blog/interview-experience/) 中进行相关讨论(不过目前 heading anchor 还没加上, 阅读体验不如 github 的 md), 也可以直接通过我的邮箱(见 profile)进行交流, 感谢您耐心地看完全文! + +**补充** + +笔者最后去了 PingCAP, 原因也很简单, **大公司想去总是能找到机会去的, 而登上 Rocketship 的机会可不多** + +这里也打个广告, 假如想一起来搞 [TiDB](https://github.com/pingcap/tidb), 欢迎发送简历到 wuyelei@pingcap.com, 我帮您内推😆(多嘴提一个邮件礼仪的小建议: 标题一定要写清楚😂), 这里是 [相关JD](https://www.pingcap.com/recruit-cn/engineering/bizdev-cloud-engineer/) + +另外, 蚂蚁的 Kubernetes 调度部门也在招人(社招校招都有), Leader 是我一个很靠谱的学长, 大家可以直接发送简历到 tongkai.ytk@antfin.com 内推. [相关 JD](./docs/antfin_k8s_jd.md) + (全文完) + +[*License under CC BY-NC-ND 4.0: 署名-非商业使用-禁止演绎*](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.zh) diff --git a/docs/antfin_k8s_jd.md b/docs/antfin_k8s_jd.md new file mode 100644 index 0000000..7c8108c --- /dev/null +++ b/docs/antfin_k8s_jd.md @@ -0,0 +1,67 @@ +# 社招JD + +## 职位名称 + +蚂蚁金服容器资源调度专家 + +## 岗位描述 + +蚂蚁 Sigma 平台为蚂蚁金服上层业务提供标准容器服务和全局资源动态分配，调度节点单集群规模超过万台，同时致力于在系统、业务多个层面，包括 os/kernel、容器/PaaS、智能调度/仿真容量等进行技术突破，提高容器系统规模化的资源利用效率，降低大促等各种大规模复杂业务场景下的资源成本，打造智能、高效、稳定的金融级基础系统，助力蚂蚁科技金融。 + +## 职位职责 + +负责蚂蚁金服容器调度体系设计和研发 + +1. 设计和实现大规模、高效、智能的基于 Kubernetes 平台的新一代调度体系 +2. 提高资源利用效率，降低成本，设计和研发混部、VPA、cpushare 等技术 +3. 建设智能调度，结合动态运行数据、深度学习、强化学习等技术打造下一代智能化、可视化的调度技术 +4. 支持计算类、大数据类、机器学习/深度学习等业务的资源调度，设计和研发高并发、低延迟、大规模的调度技术 + +## 能力要求 + +1. 熟练掌握 Golang 语言开发，具备 Python、Java 等其他一种或多种语言开发经验 +2. 熟悉 Kubernetes/Docker 生态，熟练掌握 Kubernetes/容器调度相关技术和相关项目代码实现 +3. 对 Linux 系统有深入的理解，特别对 cgroup、cpu share、memory share 等资源相关技术有相关经验者优先 +4. 具备一定的生产运维经验，熟悉 DevOps 研发流程 +5. 具备较强的团队沟通协作能力、自驱力和技术热情，具备实际的项目落地经验 + +## 额外加分 + +1. 有大规模集群资源利用率提升经验者额外加分 +2. 有贡献 Kubernetes/Docker 相关开源项目者额外加分 +3. 有其他 YARN、Mesos 和 Swarm 等平台调度技术研发经验者额外加分 +4. 有搜索算法和数据分析经验者会有额外加分 +5. 有 AI & MachineLearning on Kubernetes 经验者额外加分 + +# 校招JD + +## 职位名称 + +蚂蚁金服 - 资源调度研发工程师 & 实习研发工程师 + +## 岗位技术挑战 + +大规模云集群的高效调度和资源利用 + +## 职位描述 + +负责蚂蚁金服大规模云集群调度和资源体系设计和研发 + +1. 设计和实现大规模、高效、智能的基于 Kubernetes 平台的新一代调度体系 +2. 提高资源利用效率、降低成本，设计和研发混部、VPA、cpushare 等技术 +3. 建设智能调度，结合动态运行数据、深度学习、强化学习等技术打造下一代智能化、可视化的调度技术 +4. 支持计算类、大数据类、机器学习/深度学习等业务的资源调度，设计和研发高并发、低延迟、大规模的调度技术 + +## 职位要求 + +1. 熟练掌握至少一种以上面向对象设计语言，如golang、java、python +2. 了解 Kubernetes/Docker 生态、具有一定的云计算概念基础 +3. 对linux操作系统有一定的使用经验 +4. 乐观开朗、积极向上 + +## 额外加分 + +1. 有Kubernetes使用经验者额外加分 +2. 有云计算、云原生开源社区贡献经验者额外加分 +3. 研究方向在云计算、调度和搜索算法、资源利用率提升者额外加分 +4. 有云计算领域数据分析和机器学习相关经验者额外加分