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Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. 2 years of experience with software development in C or C++ programming languages. Preferred qualifications: Master’s degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. Experience in developing hyperscale, server platform design, firmware development or system architecture. Experience with the server ARM computer architecture and Linux systems. Experience with BIOS, Kernel, and Firmware development. Experience with upstream open-source contributions. Knowledge of firmware design, kernel development, and server system integration. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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. The ML, Systems, Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Responsibilities Develop, and implement ARM Servers and associated devices, from conception to launch, using Google custom-designed ARM CPUs and other bleeding edge technologies. Design and implement new capabilities according to industry best practices and standards, ensure code quality via testing and in partnership with other engineers and technical leaders. Collaborate with internal and external partners to plan and execute the engineering programs, including product development, and productivity improvement. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, related technical field, or equivalent practical experience. Experience in enterprise server or storage systems, including server software, SSD, and NVMe. Experience in high-performance computing, reliability engineering, software-defined systems, hardware acceleration, and disaggregated computing. Experience in large-scale and secure fleet management of servers and components. Experience with developer operations, release management, integration testing, open source development or Open Compute Projects (OCP). About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Develop technical and product roadmaps, influence executive decisions; define and implement the best known practices for multiple teams. Lead the programs of system software development for next-generation server and storage systems to adopt the latest technologies of performance, reliability, security, and cost-effectiveness. Lead the programs of system software development for large-scale system verification, automate diagnostics, system configuration management, and operation metrics collection. Mentor the team by modeling high standards, providing guiding feedback, and implement new practices to improve productivity. Contribute innovative ideas and skills to the team. 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.

運用 GCP（Google Cloud Platform）進行的全方位開發工作 雲端環境的設計（繪製架構圖） 雲端環境的建置（開發、測試、本番環境） 雲端環境的維護、運用支援與監控作業 雲端服務新功能的驗證與測試 雲端使用費用的估算與成本最佳化的規劃 系統壓力測試與營運測試的執行 技術文件的撰寫與更新 各類日誌的檢查、彙整、分析與預防性維護規劃

【Responsibility】負責設計並部署具高可用性、擴展性與安全性的 GCP 雲端架構，確保能滿足業務成長與技術演進需求。檢視並分析現行系統結構，提供效能強化與上雲轉換的建議與實施計畫。熟悉並管理 GCP 運算與網路核心服務，例如 Compute Engine、App Engine、Cloud Functions、VPC、Cloud Interconnect、Cloud Armor 等，確保基礎環境穩定運作。擅長建置雲端資料解決方案，包含 Cloud SQL、Cloud Spanner、Firestore、BigQuery 等 GCP 資料相關服務的規劃與效能優化。導入 Infrastructure as Code（IaC）流程，運用 Terraform、Deployment Manager 等工具進行資源自動化部署與版本控管。建立完善的監控與告警架構，使用 Cloud Monitoring、Cloud Logging 等服務確保系統效能穩定與資安合規，並能獨立進行故障診斷與效能調校。協助規劃並落實 AI/ML 解決方案，包含應用 Vertex AI、Vision AI、Gemini API 等工具整合智慧功能至產品或流程中。熟練操作 AutoML、BigQuery ML 等工具，進行模型訓練、部署與監控管理，強化機器學習生命周期管理能力。作為技術顧問角色，支援客戶解決複雜問題，並協調內外部團隊資源，促進專案順利推進。持續追蹤 GCP 生態系最新技術與服務更新，並將實務經驗轉化為可複製的最佳實踐應用至團隊中。

We are looking for a Software Engineering Team Lead to join our technology team and help shape the systems that support our fast-growing e-commerce business. This role is ideal for someone with at least 5 years of software development experience and a strong interest in team leadership, scalable systems, and cloud technologies. Responsibilities: 1. Design and develop internal systems that support business operations and meet employee needs 2. Work closely with business and operations teams to understand requirements, define clear specifications, and ensure smooth project delivery 3. Lead and support a team of engineers, sharing knowledge and promoting best practices in software development 4. Build scalable and reliable solutions using cloud services such as AWS or Google Cloud 5. Monitor system performance, troubleshoot issues, and make improvements as needed 6. Follow development guidelines, ensure testing coverage, and maintain code quality 7. Oversee ongoing system maintenance and optimization to support daily operations Requirements: 1. 5+ years hands-on experience in software development 2. Proficiency in at least one object-oriented programming language such as Java, Python, C++, or C# 3. Experience with cloud platforms like AWS, Google Cloud, or similar 4. Strong communication skills and the ability to collaborate across teams 5. Proven ability to lead or mentor engineers in a team environment 6. Comfortable working in a fast-paced e-commerce setting and open to learning new tools and technologies Technologies we used but are not limited to: 1. Frontend: HTML, JavaScript 2. Backend: Ruby on Rails, Python 3. Database: MySQL 4. Cloud Computing Services: AWS, GCP

公司介紹 我們的客戶是一家長期深耕金融科技與數位創新的大型金融機構，近年積極投入資料平台與雲端架構升級，打造企業級數據基礎設施，支援數據分析、AI模型與多元金融場景。 團隊目前正推動 Modern Data Stack 與資料治理體系建設，導入雲端數據平台、資料血緣管理與自動化資料流程，讓數據能真正驅動產品決策與金融服務創新。 對資料工程師而言，這是一個能接觸 大規模資料、成熟商業場景與完整數據治理架構 的環境，能在穩定產業背景下，參與企業級資料平台的設計與落地。 工作內容 設計與維護 雲地混合（Hybrid Cloud）數據架構 建立與開發 大規模 Data Pipeline，處理結構化、半結構化與非結構化資料 建立資料處理流程的 自動化監控與維運機制 評估與導入 Modern Data Stack，提升資料治理、品質與血緣管理能力 使用資料治理與元資料管理工具，管理企業數據資產 維護與優化 Airflow 工作流程平台，支援資料科學與分析團隊的資料處理流程 設計部署與監控策略，確保資料平台穩定與高可用性 使用的技術 Python SQL Apache Airflow GCP（Composer / Dataflow） Terraform CI/CD Pipeline Data Governance / Data Lineage Modern Data Stack

1.協助內部系統開發優化及維護2.協助新功能開發或功能模組的延伸開發3.具備獨立處理能力，參與基本架構討論與支援4.主管交辦事項加分條件（Preferred Qualifications）• 使用過Docker進行開發及環境佈署• 使用過GCP進行佈署VM、建置資料庫、相關功能操作年資滿一年年終全薪兩個月｜未滿一年按比例計算｜每年一次員工酬勞(以上視營運狀況發放)

【Company Highlights】🥤臺灣知名連鎖企業，門市至今已超過300間，組織穩定且注重企業數位轉型🥤重視員工的與眾不同，提供各階段的培訓及補助🥤重視夥伴的升遷發展及薪資福利，制定完整制度及規劃 【工作內容】1.熟悉雲端服務和微服務架構，了解最新的技術趨勢。2.瞭解系統架構設計，能夠應對複雜的系統整合。3.熟悉前端和後端開發技術，能夠提供技術解決方案。4.具備數據庫設計和管理經驗，熟悉數據一致性和數據流的最佳實踐。

• 規劃與管理 AWS、GCP、阿里雲等多雲架構、治理與資安策略• 建立雲端資安機制• 推動 DevSecOps，將資安導入 CI/CD 與自動化流程• 管理 Kubernetes／Docker 平台與雲端監控• 領導雲端／DevOps 團隊，跨部門協作確保系統穩定、安全與可擴展• 多雲平台實務經驗，具備架構設計或維運決策能力• 熟悉雲端資安、容器安全與 DevOps／DevSecOps 流程• 具備技術決策、問題分析與團隊管理經驗

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家。在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！歡迎對外商新創文化、電商產業有熱誠的人才加入我們的團隊！ 工作職責 開發設計內部系統，使其符合公司的需求和員工特性與業務部門/營運部門團隊進行必要之溝通協調工作。確立需求並明確規格，且持續推進與掌握相關業務之進展，與團隊共同合作完成目標。利用雲服務等技術開發出高擴展性、可靠性的解決方案追蹤系統運行狀況並及時處理問題熟悉並遵守內部開發準則與測試要求系統日常優化與維運作業 條件要求 熟悉任何一種物件導向程式語言熟悉雲端運算服務，如AWS或Google Cloud等良好的溝通能力和團隊合作精神。樂於學習新技術和工具 採用的技術包括但不限於： 前端：HTML, Java Script後端：Ruby on Rails, Python資料庫：MySQL持續整合與部署：Docker雲端運算服務：AWS, GCP 我們的優勢： 完善的新人培訓，幫助新人迅速了解產業知識與實作應用每週定期與Mentor 1 on 1 ，隨時掌握自己的學習狀況外商新創的工作氛圍讓你對專案有高度自主性與發揮空間升級並擴充既有的系統，清楚看到自己對全公司的影響力嚴謹的code review，打下穩固基礎獲得寫出clean code的能力可以自己選擇與公司系統相關的學習方向，主管支持你提升自我彈性工時與工作地點