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TapPay 是一個商店的平台，我們致力於成為商店的最佳夥伴，圍繞著商店進化。TapPay 由多個不同的服務所構建，包含獨家無跳轉支付、多元支付整合、信用卡風險、3DS 2.0、信用卡代碼 (TSP) 及商店行銷工具等

用創新型態的教育科技重新定義，實現新世代高互動性的教學應用，創造高效率的學習內容，讓學生、家長與老師一起達成三贏。 工作內容: 1. 使用Node.js 開發與維護後端程式 2. 使用 NoSQL/RMDB 3

✨ 成立超過 3 年，台灣人數超過 30 位 ✨ 團隊分布在新加坡、台灣、中國 協助開發公司基於微服務設計的API系統。 負責轉化現有的API系統成為微服務架構，並持續進行優化。 編寫清晰、高質量的程式碼

※ Please fill out the application information at https://funnow.bamboohr.com/careers/80 ※ 【About Product Backend Team】 FunNow's backend development team, comprising over a dozen members, boasts diverse backgrounds from various startups or medium to large-scale software companies. Your role involves crafting highly readable, stable, and scalable code and architecture for FunNow's million-strong user base. We value the professional opinions and ideas of each team member, encouraging

Apply now at linktr.ee/growaha .

About Us Yahoo delivers the excellent online platform globally. We host the number one online shopping websites in Taiwan. The Auction site also provides the leading online store solutions to the business wish to perform online commerce activities. About You We are looking for talented individuals who are passionate about building the most advanced online commerce platform. Come join us to work on the cutting edge technology to deliver the state-of- art platform with the

捷開發是我們的日常。 MAYO將推出嶄新服務，並跨足海外市場，目前70位的研發團隊將持續擴編Junior及Senior角色，歡迎您投遞履歷並與我們分享你的經驗，我們將優先與您聯繫。 註：職缺地點可選擇台北或

在創星，您會與一群熟悉車聯網產業鍊的專家們一起共識，打造引以為傲的車隊管理平台。提供視覺化操作介面、商業分析圖表、即時顯示車輛資訊。搭配創星獨家開發的車用設備，掌握即時車況，共

We are looking for a skilled Backend Rust Engineer to join our team. The candidate should know Rust backend frameworks like Actix-Web, rust database ORMs like Diesel, and have a good understanding of Relational Databases like PostgreSQL. Knowledge in SQL, CI/CD, Git, Linux, multi-threading, and Rust Async programming is also essential. You will be responsible for developing and maintaining the Backend of a battery management system which is composed of several cross-field

【工作內容】 此職缺會協同數位前端工程師、後端工程師與架構師共同規劃與打造以數據為主的多個系統及平台，主要用於收集、分析行為數據、同時導入行為分類模型後運行自動化腳本，最終完