【行走的Offer收割机】记一位朋友斩获BAT技术专家Offer的面试经历【石杉的架构笔记】

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概述

之前写过两篇文章:

通过这两篇文章,我们给大家聊了聊国内中大型互联网公司,在Java面试时一些高频的技术问题。

本文我们通过一篇真实的一线面经,带大家去体验一下BAT等互联网公司的面试现场氛围!

背景介绍

PS:
面试者是笔者以前的下属,多年的好朋友。
这是他今年早些时候出去面试,拿到BAT等多家一线互联网公司技术专家Offer的面试经历。

先介绍一下这位朋友的个人经历:

  • 本科毕业,接近10年工作经验。跳槽之前,在国内某大型互联网公司里带一个8人左右的技术团队。
  • 由于公司业务发展较为平缓,所以职业上升机会较少。
  • 朋友对其负责的系统架构和技术已经非常熟悉,薪资上也较难有大幅度的增长,至于晋升更高的级别,短期内也不容易。

因此,在仔细思考一番之后,决定出来看看机会,能否在带团队的规模、技术以及薪资上实现一个突破。

○一面○

一面是一个猎头给朋友推的一个职位,BAT中某一个大厂的某个团队,具体就不说是哪个部门了。

一面就直接过去当面聊了一次,大概从下午2点聊到了下午4点多,时间很长,炮火相当猛烈。

一面面试官也是专家职级,上来就是先聊项目,针对项目中的各种细节仔细问,就项目展开,而且极其注重细节。

下面的内容,是根据朋友面试之后的回忆,整理出的部分问题。

面试同样是通过互联网公司最喜欢的连环炮形式发问。比如在面试过程中,聊到了缓存。连环炮如下:

接着,面试官继续深扣了很多细节

面试官

  • 那请说一下,这些请求具体是落在哪些接口上?
  • 哪些数据是数据库和缓存双写一份的?
  • 双写一致性如何保证?保证一致性的同时如何保证高并发和性能?
  • 缓存线上是如何部署的?给了多大的总内存?命中率有多高?
  • 缓存抗了多少QPS?数据流回源会有多少QPS?
  • 是否某个key出现了热点缓存导致缓存集群中某个机器的负载过高?如何解决的?
  • 是否出现超大value打满网卡的问题?如何规避这个问题?
  • 线上是否出过缓存集群事故?如果出现了你们怎么解决有什么高可用保障预案?
  • 平时如何监控缓存集群的QPS和容量?如果要扩容该怎么扩?能否平滑扩容?扩容会导致系统需要停机吗?
  • 聊聊Redis的集群原理?扩容的时候会不会导致数据丢失?key寻址算法都了解哪些?
  • 你了解一致性hash算法吗?画个图说说Redis线程模型和内存模型?

朋友

纸笔翻飞,大脑高度运转,一个接一个的回答。。。

如上所述,所有问题,全部结合项目,落地到生产中,同时注重聊技术的很多细节,包括技术的一些原理。

像缓存这样的连环炮提问法,面试官还用来问了MQ、MySQL分库分表、高可用、JVM、多线程并发,等各种问题。

简单总结:

  • 一面其实关注了技术广度,同时结合项目死扣各种细节。
  • 另外也兼顾了一定的技术深度,会就一个技术往深了问下去。

总体来说,一面还算顺利,毕竟都是结合项目来问的,各种细节平时朋友进行架构设计时,都会仔细考虑过。

而且朋友也做过线上的高并发系统,踩过很多坑,所以这些问题基本都回答的不错。

但是这里给大家提醒一句,一般某个同学出去面试,回来之后其他人问他面试经验,一般都是问:都有啥面试题?面试官是怎么问的?

说实话,大家看了上面那些问题,可能会觉得说,哦,其实我也可以答出来,没什么特别的。

但其实并不是这样,如果只是拿高级岗位的Offer,你的技术会占很大比重。

但是如果要拿专家岗位的Offer,你到底有没有线上真实的高负载的系统架构经验,非常重要。

同样的问题,普通人会回答的很普通,但是经历过真实几十亿流量请求的人一定会说出大量经验总结、教训以及采坑。

而且对整套复杂的大型系统到底是如何抗住高并发的,会了然于胸,熟悉所有的细节。

所以针对一面,一般就是结合项目,深挖细扣,看你到底有多少水平,做过多复杂的系统。

这块说实话,做过就是做过,没做过就是没做过,是不可能作假的。

很多同学可能自己平时也看过很多书和博客,但是看书和博客只是基础,如果没有真实的线上生产环境的历练,是肯定不够的。毕竟实践出真知!

○二面○

一面就顺利通过了,紧接着安排了第二轮面试。

二面面试官应该是这个团队的leader,P8级别的,如果进去,应该就是朋友未来的顶头上司。

据朋友讲,二面面试官态度非常好,很和蔼,看来一面面试官反馈之后,这个team对朋友还是比较重视的。

(1)技术深度

二面内容就从广度变成深度了,面试官技术实力很深厚,应该是有十几年经验。对相关技术深挖了很多东西。

同样,二面也聊到了缓存相关的问题。问了朋友具体了解过哪些缓存技术,redis、memcached,还有阿里开源的tair,哪个了解过内核原理?

朋友之前看过一些redis的内核,就聊了聊redis内核的一些数据结构和实现原理。包括集群、持久化在内核层面的一些东西。

此外在MQ这块,朋友正好对kafka做过深入的研究,就聊了聊Kafka的源码。

比如KafkaController在故障转移这块的源码,日志存储、网络通信的一些细节。如何保证磁盘读写的高性能,零拷贝那块的底层实现,leader和follower之间的数据是如何同步的,都是从源码层面来聊。

此外,还聊了dubbo的源码以及mysql内核层面的东西。

(2)系统设计、工程素养、带团队

同时二面非常重视考察系统设计能力、工程素养、带团队的能力。

比如面试官就这个部门负责的一块业务,出了一个相关的系统设计题目。

题目细节记不清楚了,大体内容是给出具体的用户量、业务场景、并发量、数据量,然后让你整体负责这个系统的架构设计。

朋友需要阐述自己的整体设计思路,从哪些点来考虑,存在着哪些技术挑战,并且现场画出来具体的架构设计图。

工程素养这块,让朋友聊了聊平时如何做的技术设计、技术评审、编码规范、测试、上线、回滚、灰度、压测、监控等等。

带团队,让朋友说一下,如何招人、面试标准、如何搭建团队的人才梯度,等等。

(3)架构演进

此外,还会问一下,整个系统架构是如何一步一步进行演进的。

从0到1的时候是什么架构?从1到10的时候是什么架构?从10到100的时候是什么架构?这块就是看看你的整体架构能力,以及技术规划能力。

说到这里,笔者提一句,如果出去面试,尤其是去BAT等大型互联网公司面试,必须精心准备。

包括你的项目的每个细节,你解决过的各种线上问题和坑,你简历里的技术是否达到一定的深度,你平时其他的工程、设计能力,这些都一定要精心准备一下。

绝对不要裸面!绝对不要裸面!绝对不要裸面!

重要的事情说三遍!裸面必败,而且如果一问三不知,那么给人的印象就是很差的。

如果要冲着心仪的大公司去,最起码精心准备1个月以上,大家务必记住这一点,这也是朋友这次的一个重要心得,准备充分了,才能有备无患。

○三面○

二面之后,又等了大概一两周。。。

因为越往上面,领导级别越高,平时越忙,有时人家可能出差开会去了,不过等了一两周,那边总算约上了三面。

三面是总监级别的,不太确定是走的M线还是P线。如果是P线,那么一定是P9,但是观察面试风格应该是M线的总监。

这一面,聊技术其实并不多,更多的是跟朋友聊过往的各种公司的经历和项目经验,具体负责过哪些比较有挑战的大型的系统。

另外,考察了各种软素质。比如说责任心、抗压能力、自我驱动,让朋友举例说明自己过去的一些事情,来证明软素质。

同时还会聊聊职业价值观,是否愿意加班,等等吧。最后也聊了聊朋友的职场期望,包括这个团队是干什么的,未来的发展方向之类的。

朋友觉得最重要的还是前面两面,其实这一面,只要人品端正,平时干活儿认真负责,一般的都没什么太大的问题。

○终面○

接着又过了一两个礼拜,因为当时二面面试官,也就是那个未来可能成为朋友leader的人,对朋友还是比较看重的,私下还短信联系了一段时间,就怕朋友跑去别的公司了。他告诉朋友说是因为HR那边太忙了,所以终面还未安排上。

关于HR面,朋友印象真是相当之深刻,为什么呢?因为HR是直接电话聊的,没过去了,过去实在太折腾,而且二面面试官也是去打了招呼。

HR当时居然是晚上11点打来的电话,人家刚刚加班开会结束,就打来了电话,真是不得不佩服其敬业精神!

而且这位HR是相当专业的,如果是普通的HR其实随便聊聊就行了,但是这边的HR问了很多问题,大概聊了1个小时左右。

主要是跟朋友聊了一些价值观的东西,比如之前觉得做过最难的事情是啥,怎么克服的,当时啥心态。

还有就是为啥要离职,没有发展空间?那当时没考虑过公司内部transfer(转岗)吗?为啥不好transfer?你的绩效平时怎么样?你觉得你跟同事相处的怎么样?

终面内容,总结起来,其实还是一句话,你人品正就好了,一般都问题不大,老老实实的踏实回答。

后来HR面了过后,那边的薪资确实给到位了,达到了朋友的期望薪资。

但是那边给的规划是未来可以带的团队人数也就是10人以内,而且不是配发集团股票,是配发的正在快速发展的这个团队的期权。

所以朋友当时纠结了一下,但还是先答应了,于是offer就发了过来。

后记

本来朋友想的是,如果没有别的更好的机会,那么这个机会也可以考虑,毕竟薪资上还是可以的。

但是当时包括**TMD(头条、美团、滴滴)**这边,也都有人内推朋友过去试试,所以当时也面了其他的几个一线互联网公司。

其实如果经历了BAT这种互联网公司的几轮技术面试洗礼,那么去国内任何一个公司都没什么问题了,所以当时面试也都很顺利,驾轻就熟。

同样,朋友也不出意外的拿到了那些一线互联网公司的offer。

经过一番对比,朋友最终没有选择去最初面试的那个BAT中的某个大厂,而是去了上面说的那几个超级独角兽公司中的其中一个。

原因是这家超级独角兽公司给出的薪资超出期望之外,而且领导对朋友同样非常重视,配发了大量的期权,承诺可以独立带20+人的团队。

而朋友更看重的是这个超级独角兽公司未来的潜力。

  • 第一,公司发展速度快,人员扩张迅猛,所以给到的带团队的机会非常好,能带更大的团队,比朋友当前带的团队规模大了一倍多。
  • 第二,虽然BAT的那家大厂同样配发了期权,但是这家超级独角兽的期权未来潜力可能更大。事实证明,的确如此。
  • 所以综合考虑了之后,朋友最终还是根据自己的职业发展选择了独角兽公司,没有再回到BAT行列中。

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5、[兄弟,用大白话告诉你小白都能听懂的Hadoop架构原理](https://link.juejin.im/?target=https%3A%2F%2Flink.juejin.im%3Ftarget%3Dhttps%253A%252F%252Flink.juejin.im%252F%253Ftarget%253Dhttps%25253A%25252F%25252Flink.juejin.im%25253Ftarget%25253Dhttps%2525253A%2525252F%2525252Flink.juejin.im%2525253Ftarget%2525253Dhttps%252525253A%252525252F%252525252Flink.juejin.im%252525252F%252525253Ftarget%252525253Dhttps%25252525253A%25252525252F%25252525252Flink.juejin.im%25252525253Ftarget%25252525253Dhttps%2525252525253A%2525252525252F%2525252525252Flink.juejin.im%2525252525252F%2525252525253Ftarget%2525252525253Dhttps%252525252525253A%252525252525252F%252525252525252Flink.juejin.im%252525252525252F%252525252525253Ftarget%252525252525253Dhttps%25252525252525253A%25252525252525252F%25252525252525252Fjuejin.im%25252525252525252Fpost%25252525252525252F5beaf02ce51d457e90196069) > > 6、[大规模集群下Hadoop 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9、[【坑爹呀!】最终一致性分布式事务如何保障实际生产中99.99%高可用?](https://link.juejin.im/?target=https%3A%2F%2Flink.juejin.im%3Ftarget%3Dhttps%253A%252F%252Flink.juejin.im%252F%253Ftarget%253Dhttps%25253A%25252F%25252Flink.juejin.im%25253Ftarget%25253Dhttps%2525253A%2525252F%2525252Flink.juejin.im%2525253Ftarget%2525253Dhttps%252525253A%252525252F%252525252Flink.juejin.im%252525252F%252525253Ftarget%252525253Dhttps%25252525253A%25252525252F%25252525252Flink.juejin.im%25252525253Ftarget%25252525253Dhttps%2525252525253A%2525252525252F%2525252525252Fjuejin.im%2525252525252Fpost%2525252525252F5bf2c6b6e51d456693549af4) > > 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**12、****[亿级流量系统架构之如何支撑百亿级数据的存储与计算](https://link.juejin.im/?target=https%3A%2F%2Flink.juejin.im%3Ftarget%3Dhttps%253A%252F%252Flink.juejin.im%252F%253Ftarget%253Dhttps%25253A%25252F%25252Flink.juejin.im%25253Ftarget%25253Dhttps%2525253A%2525252F%2525252Flink.juejin.im%2525253Ftarget%2525253Dhttps%252525253A%252525252F%252525252Flink.juejin.im%252525252F%252525253Ftarget%252525253Dhttps%25252525253A%25252525252F%25252525252Fjuejin.im%25252525252Fpost%25252525252F5bfab59fe51d4551584c7bcf)** > > 13、[亿级流量系统架构之如何设计高容错分布式计算系统](https://link.juejin.im/?target=https%3A%2F%2Flink.juejin.im%3Ftarget%3Dhttps%253A%252F%252Flink.juejin.im%252F%253Ftarget%253Dhttps%25253A%25252F%25252Flink.juejin.im%25253Ftarget%25253Dhttps%2525253A%2525252F%2525252Flink.juejin.im%2525253Ftarget%2525253Dhttps%252525253A%252525252F%252525252Fjuejin.im%252525252Fpost%252525252F5bfbeeb9f265da61407e9679) > > 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