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Open nowPosted 138 days ago

高级数据库开发工程师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now高级数据库开发工程师li/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on li/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 138 days ago

li/referral median: 1 days open

The posting

1.参与公司数据库系统的设计、开发与优化,提升数据库性能、稳定性和可扩展性。 2.负责数据库管控平台的设计、开发与优化,保障核心功能的高效运行和稳定性。 3.深入理解业务场景的数据服务需求，为不同业务场景提供最合适方案。 4.学习业界先进的理论与工程成果，探索创新软件设计，应用于数据产品中。

1. 计算机科学或相关领域的全日制统招本科及以上学历，3年以上数据库平台开发经验，有大型互联网公司相关经验优先。 2. 熟悉或精通至少一门语言，如Golang/Python/Java等。 3. 对MySQL、PostgreSQL、NoSQL等数据库以及Rocketmq、Redis等中间件原理有深入的理解。 4. 精通分布式事务协议和常用的网络通信协议，对 等中间件的分布式系统原理有比较深的了解。 5. 具备良好的问题分析和解决能力，能够独立处理和解决复杂的技术问题，能够承受压力，推动事情闭环。

加分项: 1. 在开源社区有活跃贡献，如GitHub项目贡献者或维护者。 2. 拥有公开发表的技术论文、技术博客或演讲经历者。 3. 熟悉Al Agent技术栈与工程实践落地者。 4. 独立开发并且维护过百万 QPS的数据库或者中间件者优先。

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  1. A CV for this posting

    Written against li/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on li/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    li/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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