新加坡职位

投递方式

请发英文简历至邮箱
格式:邮件标题 【意向公司】-【意向岗位】-【姓名】

Sea: 新加坡or深圳

纽交所上市大型互联网公司,新加坡知名团队,国际化平台,富有竞争的薪资,享受新加坡优质生活环境及教育资源,可携带配偶子女一起前往新加坡工作生活,配偶也可在新加坡工作(不占用外籍名额,雇主不用缴纳人头税,找工作有一定优势),子女可正常入托入学(最好幼儿园阶段就过来,无门槛入托入学,过了入学年纪需要参加插班考试)。现阶段技术移民(全家)最简易可操作方式。 提供跨国中文视频面试;宅在家可走完面试流程。

新加坡税极低,比如税前折合人民币 100 万,在没做减免项扣除的情况下,税后 90 万左右( 894250 );年薪越高跟国内税率差距越大。高增长幅度的上市公司股票。 公司提供 18 天年假,14 天带薪病假,6 天育儿假,14 天法定节假日。无政治性加班,加班可调休,更好的工作与生活的平衡状态。公司有早餐,晚餐,零食饮料,独栋办公楼,设施完善的餐厅,休息室,淋浴间,整层的健身房等。配 MacBookpro+显示器,互联网顶尖公司办公环境。 公司提供 EP (新加坡专业人士工作准证),提供配偶和子女的 DP (家属准证,配偶可在新加坡工作),公司医疗保险包含配偶和子女的医疗保险,在职期间新生儿出生,公司提供 8000 新币( 4 万人民币)的育儿津贴 对于跨国招聘,入职提供 1500 新币( 7500 )的入职搬家补贴

高端专家技术岗要求统招本科,五年以上工作经验,互联网大厂背景优先 工程师岗要求统招本科,三年以上工作经验,互联网大厂背景

移动端安全技术专家 /高级技术专家(风控反欺诈-移动安全方向)

职责包括如下:

负责移动安全产品(安全 SDK 、防逆向、设备指纹等)研发工作,保证业务风控安全•研究黑产作案手段分析,并寻找对抗方案;

带领团队完成系统设计与开发,并确保项目的进度和质量•设计并编写系统的核心服务与框架

负责指导开发工程师,审核开发工程师的设计与研发

任职要求:

计算机相关本科或以上学历

5 年以上 Android NDK 或 iOS 的相关开发经验

至少精通 C/C++,Java,Object-C 或 Go 两种开发语言

熟悉 JavaScript,ReactNative 等常见前端语言和技术

精通常见的移动端攻防技术

有大型互联网公司或安全公司的客户端安全产品研发经验优先(客户端加固、脱壳、虚拟机保护等)

精通客户端安全技术(如注入、Hook 、调试等)及对抗原理

熟练掌握常见的客户端攻防逆向和调试技巧

熟练掌握计算机科学基础知识(操作系统,网络等)

熟悉编译器开发及原理,有相关开发经验优先•较强的英语读写能力,可沟通的英语听说能力

云平台数据库产品 RDS 开发( leader/高级专家)

参与公司私有云平台数据库产品开发,基于开源关系型数据库,为业务研发团队提供稳定易用关系型数据库云产品 RDS,并实现数据库平台帮助 DBA 管理数据库服务,保证服务稳定性和可靠性。

岗位职责:

  • 设计和开发 MySQL 数据库云产品 RDS for MySQL 。
  • 设计和开发数据库服务运维管理平台。
  • 协助 DBA 设计并开发日常运维效率工具。
  • 持续优化服务,解决实际问题,提升系统的易用性、稳定性和可靠性。

任职要求:

  • 计算机或相关专业本科及以上学历,5 年以上开发经验。
  • 熟练掌握和使用 Go 或 Python,对语言有深入的理解。
  • 全面的计算机基础知识结构(数据结构与算法、操作系统、网络、安全、数据库等)。
  • 熟悉常用的网络协议及开发( TCP 、UDP 、HTTP )。
  • 熟悉 MySQL 数据库以及 Innodb 存储引擎体系架构,有系统诊断及调优经验者优先。
  • 有 MySQL 内核源码开发经验者优先。•熟悉 MySQL 高可用原理,有分布式关系数据库系统开发经验者优先。
  • 熟悉 Docker 等容器化技术的原理和实现。
  • 良好的英文听说读写能力。
  • 有良好的团队协作精神,富有责任心。
Data Warehouse Tech lead

Data warehouse team is responsible for building the data mart to support the decision making, model training.

Job Description:

  • Design and manage Data warehouse plan for a product, such as: design data model, define data metric, data governance and so on
  • Work with BI, business team, PM team, use data to solve problems, identify needs and opportunities
  • Design,build and maintain the batch or real time data pipeline in production using Hadoop big data technology•Build a high-quality team and design the team to scale.

Requirements:

  • B.S in Computer Science or related technical field.
  • 5+ years of experience building batch or streaming production pipeline using Spark, MapReduce, Flink with big data set.
  • 5+ years of experience building Data Warehouse in internet company.
  • Proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs.
  • Experience with data science and machine learning tools and technologies is a plus.
  • Knowledge & experience with Hadoop big data ecosystem(e.g. Hadoop, Spark, Airflow, Hive, Presto, Druid, Kafka and others)
  • Team leading experience.
  • Communication and leadership experience, with experience initiating and driving projects.
Data Computing Platform Tech lead

We design and build the Data Computing platform for internal users to explore and process data efficiently.

The platform runs thousands of jobs and queries every day. It enables the data engineers, data scientists and BI to move fast and achieve high productivity.

The platform provides a rich data exploration interface and consists of full lifecycle data pipelines from deployment, scheduling, monitoring to troubleshooting.

The platform includes data exploration and development system, scheduling system, Data lineage management system, Data quality system, Model feature development system and so on.

Job Description:

  • Design, develop and implement efficient data exploration interface and processing system after you understand how BI/DS/DE interact with the data;
  • Analyze and improve efficiency, scalability, and stability of various system resources.
  • Coordinate with different teams andset best practice and standards;
  • Build a high-quality team and design the team to scale.

Requirements:

  • B.S in Computer Science or related technical field.
  • 8+ years of coding experience in Java, C++ or other modern programming languages.
  • 5+ years of experience building on or managing data platforms or large-scale distributed systems.
  • Experience with building batch or streaming production data pipeline with Spark or Mapreduce;•Knowledge & experience with Hadoop big data ecosystem(e.g. Hadoop,spark,airflow and others);
  • Experience scaling and managing 10+ person teams.
  • Communication and leadership experience, with experience initiating and driving projects.
Machine Reliability Engineer(MRE) Leader

The mission of the Tech Ops MRE (Machine Reliability Engineering) team is to ensure efficient and sustainable operation of the network and hardware level 24x7, building and maintaining massive hardware clusters for SRE and capacity, in terms of capacity, cost and hardware performance.

The team provides sustainable hardware resources and stable network support services.

MRE needs to communicate with the data center team to design and optimise network architecture; provide reasonable hardware configuration through hardware testing and selection according to business requirements; customize stable and efficient OS; optimize traditional operation through engineering and service means; and build a complete hardware monitoring system to improve the efficiency of fault handling.

Job Description:

  • Responsible for the maintenance of OS and server
  • Responsible for the system service such as NTP/SMTP/Ansible/Saltstack
  • Responsible for the maintenance of CDN
  • Responsible for the maintenance of CI/CD pipeline
  • Provide efficient and effective OS/Server solutions according to business needs

Requirements:

  • Bachelor’s or higher degree in Computer Science, Engineering, Information Systems or related fields
  • Experienced in Kernel tuning and customization
  • Proficient in Linux Operating system;
  • Familiar with X86 hardware architecture
  • Skilled use of a variety of system management tools, with experience in performance benchmark, familiar with TCP/IP and basic network concept

Skills below are optional but preferable:

  • Experience with SMTP/PoP3/IMAP/NTP
  • Experience with OS Kernel fine-tuning and customization experience is preferred
  • Experience with Ansible/Saltstack
  • Experience with the maintenance of CDN
  • Experience with CI/CD pipeline, such as jenkins/gitlab/harbour/etc.
  • Experience withdevelopment of CMDB
  • Experience with Resource application, capacity management platform design or R&D is preferred

国内职位

请发中文简历至邮箱 格式:邮件标题 【意向公司】-【意向岗位】-【姓名】

钉钉: 杭州

Mac工程师

职位描述

  1. 负责钉钉Mac平台客户端技术架构及开发工作;
  2. 负责技术难题攻关、性能优化、满足产品用户需求。

职位要求

  1. 5年以上Mac平台开发经验、3年以上客户端软件开发工作经验;
  2. 熟悉Mac OS X 编程、Cocoa框架、图形界面开发;
  3. 具备良好的分析和解决问题的能力;
  4. 有IM开发经验优先;
  5. 熟悉Mac系统编程、HTML5、JavaScript、QT、C/C++技术(加分项);

优秀的团队期待你的加入!有丰富的iOS开发经验,并愿意在Mac平台上继续探索的同学也很欢迎!

iOS工程师

职位描述

  1. 根据产品需求,高质量完成钉钉iOS客户端开发;
  2. 对负责模块持续进行性能和体验优化,实现极致用户体验;
  3. 参与钉钉音视频业务的开发。

职位要求

  1. 5年及以上iOS客户端开发经验,具备以下经验优先考虑:
    • 有Apple Watch开发经验
    • 具备Mac开发经验
    • 具备前端开发经验
  2. 精通iOS平台UI相关开发,Objective-C,精通iOS平台下的多线程开发。
  3. 熟悉常用设计模式/常用算法和数据结构/网络编程/SQLite编程/熟悉Swift优先。
  4. 熟练使用Instrument工具,能独立解决性能内存问题。
  5. 有担当、有激情、有情怀、有梦想。

拼多多: 上海

  • Android软件工程师
  • iOS软件工程师