🔥[新加坡] [技术移民机会]知名大型上市互联网公司，寻找后台开发架构 leader，移动安全技术专家，数据服务技术 leader ，大数据运维技术 leader，大数据架构技术 leader(NoSQL 方向）等等高端技术岗

[ly1574]

寻找后台开发架构 leader，移动安全技术专家，数据服务 tech leader，大数据平台技术负责人，大数据运维 tech leader，大数据架构 tech leader(NoSQL 方向），安全技术 VP （ P10 等级），产品经理 leader 及数据科学家 leader 等高端技术岗

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。
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

社会安定，全球安全指数最高的国家。欢迎大家来参观和看机会。
有意可发简历到： [e-mail]
或微信了解详情：sophia_liu611


Tech Leader

Job Description:
- Lead a team of engineers to deliver a project or modules of a project end-to-end.
- Act as an expert in at least one area of project development.
- Design intra-system architectures.
- Define well-thought-out and balanced technical solutions.
- Solve all technical hurdles during project delivery.
- Break technical solutions down to executable tasks and estimate task difficulties.
- Provide reasonable solutions to refactor existing systems into a better structure.
- Conduct code reviews. Contribute to coding if necessary.
- Ensure knowledge sustainability via well organized and update-to-date documentation.

Requirements:
- 5 years or more hands-on experiences in the Internet industry.
- Well versed in server-side technology stacks.
- Expert in at least one server-side technology.
- Hands-on experiences in end-to-end project delivery as a non-individual contributor.
- Experiences in leading engineering teams.
- Established methodologies in solving most technical problems in project delivery.
- Excellent communication skills within domain knowledge.
- Excellent logical and abstract thinking abilities.

Skills below are optional but preferable:
- Good to have e-commerce experiences.
- Good to have hands-on experiences with Go or Python.
- Strong written English skills; communicable verbal English skills.


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

Data service Tech lead

The data service team design the data solutions for different data products or app to meet low latency, high concurrency and high availability requirement. The data products are built for the management team, operations team, product managers and also external sellers to make smarter decisions with the data and user-friendly interface.

Job Description:
•Proactively drive the roadmap for team, define and execute on a plan to achieve that roadmap.•Lead and grow a high-quality team.
•Translate data product requirements into scalable technical data solutions with low latency and high concurrency.
•Design and build real-time/batch data pipelines on big data ecosystems such as Spark, Flink, Hbase, Druid, ElasticSearch and more.

Requirements
•B.S in Computer Science or related technical field.
•8+ years of coding experience in Java, C++ or other mainstream programming languages.
•5+ years of industry experience building large-scale distributed systems.
•5+ years of experience building batch or streaming production pipeline using Spark, MapReduce, Flink with big data set.
•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.