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🎠 Company highlights - 遊戲娛樂集團 🎰 超過百人以上團隊擴編🎡- 五年以上資深資料庫RDBMS / NoSQL 轉換與大數據處理 - 部分遠端:每週四五 聯繫兩天遠端工作模式規劃並執行從 Oracle 等傳統 RDBMS 到 NoSQL 系統的資料遷移。 根據不同的業務與資料使用場景，選型合適的 NoSQL 解決方案（如 MongoDB、Cassandra、Redis、ClickHouse、Neo4j 等）。 設計與實作具彈性的 ETL / CDC 解決方案，確保資料同步與整合效率。面對每日數十億筆資料的高資料量環境，提出並實作具延展性的資料處理策略。進行 NoSQL 系統效能調校（Performance Tuning），改善查詢與寫入效能。與資料科學、後端工程與架構團隊密切合作，確保整體資料基礎架構穩定與高效。

🚀 為什麼加入我們？在這裡，你不只是寫程式，而是參與產品從 0 到 1 的技術決策與落地。打造高效能、可擴展的系統架構，並直接影響產品體驗與商業成果。可以真正影響產品的工程角色，重視工程品質與技術深度的團隊。💼 職務說明👨‍💻 你將負責的核心挑戰：你的工作，會直接影響產品穩定性與使用者體驗 依據需求規格書規劃技術解決方案並完成系統交付理解業務需求，規劃具體實作方案並完成程式開發與產品、測試、PM、開發、運維及使用單位等相關人員協作，將需求轉化為具體技術方案分析線上系統問題並提出可行解決方案，持續優化效能與穩定性協助同事進行程式碼審查（Code Review），提供優化建議，提升團隊整體工程品 🌱 團隊文化：我們不是只要你「寫」，而是希望你「一起決定怎麼寫」 團隊扁平化，重視技術與實作，強調工程品質 鼓勵持續學習與跨團隊合作 支持內部技術分享與外部技術交流 對技術有熱情、有想法，你會很適合這裡

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment.

1. SQL/NoSQL資料庫系統維運事務一條龍服務，從最初的建置、監控、備份、權限控管等…到日常的事件處理、性能調校2. 共同參與開發端資料庫系統的架構設計、腳本撰寫3. 探查資料庫系統潛在問題及可能的性能瓶頸，提出改善計畫、尋求最佳解並進行優化4. 需跨部門溝通與討論資料庫架構之協調規劃能力

🧙‍♂️ 想成為把資料變魔法、把API變超快的 AI Agent 後端法師嗎？ 我們正在尋找一位擅長操控 REST 與 GraphQL 的高手，一起建造穩定、高效、彈性的服務系統 ! 【工作內容】 🛠️ 設計高效能 API（RESTful / GraphQL） 💾 建置 SQL / NoSQL 資料庫架構與備份策略 🧱 打造模組化微服務架構，讓系統像樂高一樣靈活 ⚡ 開發 WebSocket 即時功能，支援高併發資料互動 📈 優化系統效能與除錯 📚 撰寫 API 文件與管理版本控制 【我們希望你具備】🟢 熟悉 Node.js / Express.js + TypeScript🔄 深度理解 REST 與 GraphQL（Query / Mutation / Subscription）🔌 使用過 Postman、Insomnia 等 API 測試工具🧠 精通 MySQL、PostgreSQL，懂 MongoDB、Redis 加分🐳 熟 Docker、Kubernetes，玩得轉 AWS / GCP📦 熟練 Git、CI/CD、訊息佇列（Kafka / RabbitMQ）👀 至少 2 年後端開發經驗，其中至少1個 GraphQL 專案開發經驗及至少1個WebSocket即時功能開發經驗⚙️具備系統效能調優經驗🚀有高併發系統開發經驗者優先 【你可能是這樣的人】 🧩 喜歡拆問題解 bug，堅信 Debug 是藝術 🌊 對高併發與系統優化有熱情，看到延遲會手癢 🚀 熱愛技術成長與架構思維，看到新框架會想試試看，能快速適應新技術 💬 能與 PM、前端工程師愉快溝通，不搞黑箱 🏗️注重程式碼品質打造可維護、可擴展的技術作品，達到最佳實務成為我們的後端夥伴，一起打造讓使用者無感延遲、讓前端愛不釋手的魔法級 API ✨ 【時薪範圍】500元/小時起，使用快組隊打造的系統，專案管理、實戰紀錄、合約、金流、稅務、二代健保一站搞定，您只需要專心輸出專業!【工作地點】主要為遠端辦公，實際配合方式依據企業需求達成共識，多半為前期實體對接，幫助快速上手，後期皆以遠端為主，彈性十足！【為什麼這個職務會加入 FDE (Forward Deployed Engineer)的字眼呢?】因為，我們正在升級自由工作者的工作模式。加入快組隊後，你不只會執行本質專業，還會- 讓時間與產出開始複利所有合作的自由工作者，都將逐步受訓成為：- 能建立 AI Agent- 能帶動多專案協作的角色- 可以實地到企業對接需求與執行從單次接案，走向可累積的複利工作模式。如果你也認同這樣的方向，歡迎加入我們! 【投遞後流程】Step1 我們會邀請您參加線上說明會，詳細介紹快組隊平台運作與任務分工流程Step2 若您聽完覺得契合，填寫說明會中分享的會後表單Step3 快組隊進行審核並安排面試流程期待與您合作，讓我們共同完成各式挑戰的專案！

【關於我們】我們是國泰產險的資料科學（DS）團隊，使命在於持續進化數據應用，創造並釋放數據價值。目前正在藉由數據上雲、數據治理與 AI 技術應用，推動由底層架構到業務應用的全端數據生態建構與 AI 轉型準備。我們尋找認同以下團隊文化的夥伴：目標成果導向：重視成果並具合作互助精神積極主動、持續進步：樂於學習與自我成長熱愛數據、對技術充滿熱忱：積極探索與應用新技術👀更多關於我們做的數據服務，期待您的加入，運用數據專案管理與技術整合能力，推動 AI 轉型與數據生態建構，讓數據創造最大價值！1. 九成跨域人才！國泰產險多元跨域、探索共融 打造數位數據轉型創新基地🔗https://www.bnext.com.tw/article/81887/cathay_ddt_2025012. 國泰產險推業界首創「CarTech智能車險加值服務」，數據驅動助法人車隊落實損害防阻🔗https://www.bnext.com.tw/article/81313/cathay-ins2024113. 國泰產險數位轉型新里程！AI與數據驅動加速全險種理賠、提升風控更有效阻詐2,300萬🔗https://www.bnext.com.tw/article/81460/samrtclaim_2024

🚀 為什麼加入我們？ 在這裡，你不只是寫程式，而是參與產品從 0 到 1 的技術決策與落地。打造高效能、可擴展的系統架構，並直接影響產品體驗與商業成果。可以真正影響產品的工程角色，重視工程品質與技術深度的團隊。 💼 職務說明 👨‍💻 你將負責的核心挑戰：你的工作，會直接影響產品穩定性與使用者體驗 依據需求規格書規劃技術解決方案並完成系統交付理解業務需求，規劃具體實作方案並完成程式開發與產品、測試、PM、開發、運維及使用單位等相關人員協作，將需求轉化為具體技術方案分析線上系統問題並提出可行解決方案，持續優化效能與穩定性協助同事進行程式碼審查（Code Review），提供優化建議，提升團隊整體工程品 🌱 團隊文化： 我們不是只要你「寫」，而是希望你「一起決定怎麼寫」 團隊扁平化，重視技術與實作，強調工程品質鼓勵持續學習與跨團隊合作支持內部技術分享與外部技術交流對技術有熱情、有想法，你會很適合這裡

Minimum qualifications: Bachelor’s degree in Computer Science or equivalent practical experience. 5 years of experience with software development in C++, Java, or Go. 3 years of experience testing/launching software products, and 1 year of experience in software design. Preferred qualifications: Master’s degree or PhD in Distributed Systems or Database Internals, or a related field. Experience building and scaling high-availability managed cloud services and ability to troubleshoot complex, non-deterministic issues in petabyte-scale distributed environments. Advanced proficiency in performance-critical C++ and low-level resource management. Knowledge of NoSQL internals, wide-column stores, or distributed storage systems (e.g., Bigtable, HBase, Cassandra). Knowledge of distributed systems theory, including consensus protocols (e.g., Paxos, Raft) and consistency models. Tack record of mentoring engineers and optimizing engineering processes (e.g., CI/CD, testing) to drive team self-sufficiency. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Cloud Bigtable is a core pillar of the Google Cloud Database portfolio, focusing on the high-scale NoSQL and Big Data space a multi-billion dollar market and a foundational service that powers Google’s own largest properties like Search, Maps, and Gmail. As a critical growth engine for enterprise data workloads, Cloud Bigtable provides the massive scalability and sub-millisecond latency required for the world’s most demanding operational and analytical applications.The Bigtable Engineering team contributes to the highly distributed storage engine, global replication systems, and advanced query routing layers that define the service. The team additionally focuses on enhancing the developer experience through high-performance database clients, robust tooling, and integration with open-standard frameworks.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the technical execution of mission-critical features within our core NoSQL engine. Design and implement high-performance C++ code to optimize storage, replication, and query layers at the petabyte scale. Refine engineering processes for the Bengaluru team, including Continuous Integration/Continuous Deployment (CI/CD) and on-call health to ensure a self-sustained, high-velocity environment. Own technical components ensuring seamless interoperability with the broader GCP data and AI ecosystem (e.g., BigQuery, Dataflow). Influence the technical roadmap for specific workstreams and identify new opportunities to leverage Bigtable architecture for emerging AI/ML needs. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Memiliki pengetahuan yang kuat tentang konsep API dan Frontend-BackendMemiliki pengetahuan yang kuat tentang Java Spring BootMemiliki pengetahuan metodologi Agile dalam menjalankan suatu project merupakan poin tambahan yang baikPengetahuan yang kuat tentang Basis Data Relasional, SQL, dan teknologi ORM (JPA, Hibernate)Pengalaman dengan basis data NOSQL dan implementasi terkait akan menjadi keuntunganMahir dalam code versioning tools GitMemiliki pengetahuan tentang javascript, CSS, dan HTML5 akan menjadi keuntunganPengetahuan tentang penggunaan desain responsif

Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 8 years of experience in software development. 5 years of experience in testing/launching products, with 3 years of experience in software architecture. Experience in NoSQL internals, wide-column stores, or distributed storage systems (e.g., Bigtable, HBase, Cassandra). Experience in performance-critical C++ and low-level resource management. Experience with deploying and managing cloud-based applications. Preferred qualifications: Master’s degree or PhD in Distributed Systems or Database Internals. Experience defining technical charters and engineering processes for geographically distributed teams. Experience in leading executive engineering teams in building and operating petabyte-scale managed cloud services. Experience with distributed systems theory, including consensus protocols (e.g., Paxos, Raft) and global replication strategies. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Cloud Bigtable is a cornerstone of the Google Cloud database portfolio, focusing on the NoSQL and Big Data market. It powers Google’s services, including Search, Maps, and Gmail providing the scalability and millisecond latency required for global enterprise workloads. Bigtable offers a wide-column storage model that scales to petabytes with HBase Application Programming Interface (API) compatibility. It integrates with the Google Cloud ecosystem, including BigQuery, Vertex Artificial Intelligence (AI), tenable data processing and AI workflows.The Bigtable Engineering team develops the distributed storage engine, global replication, and query routing layers. The India team specifically drives the database control plane, kernel, and ecosystem integration. We push the boundaries of distributed systems to ensure availability and security for our global customers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the architectural direction for core internals, including storage engines, global replication, and routing. Define the technical charter for the India team and establish self-sustained engineering processes to enable separate workstreams. Design mission-critical C++ code for database internals, focusing on petabyte-scale scalability and low-latency performance. Lead design reviews for high-stakes decisions on consistency models, resource isolation, and system reliability. Set standards for code quality and performance benchmarking while mentoring executive engineers. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.