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Windows Cloud Experiences (WCX) is developing a best-in-class virtual desktop infrastructure (VDI) solution to enable millions of customers to work with physical and virtual PCs. WCX is hiring a Senior Software Engineer for the Windows 365 and Azure Virtual Desktop (AVD) organization, which is recognized as a leader in the Gartner Magic Quadrant™ for Desktop as a Service (DaaS) for last 3 years. With the momentum from customers transitioning to cloud-based solutions, Windows 365 and AVD have become a billion-dollar business and continue to experience rapid growth. At its core, W365 and AVD provide customers with a modern, elastic, cloud-based Windows experience that feels like local. We are looking for a Senior Software Engineer who’s excited to explore new technologies, write elegant and robust code, and drive engineering excellence across the stack to join the team that builds key technologies for our service fundamental and Devops. In this role, you’ll contribute to rapid, iterative releases and have the opportunity to innovate across multiple areas of our product, from infrastructure to reliability engineering and operations. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. ResponsibilitiesAs a Senior Software Engineer in our team, you will get an amazing opportunity to contribute to both business and technology. You will be a key member of our engineering team, drive full end to end engineering cycle of critical scenario, collaborate with internal partner teams and plan, design, implement and manage the Devops and service operation with high quality, In this role you will: Work across organizations, collaborating with internal partner teams such as Microsoft Security, Compliance, and Platform Engineering teams like AKS/App service and etc. Build and maintain secure, distributed, scalable, and resilient service infrastructure using modern technologies Define and implement CI/CD strategies using Azure DevOps, driving engineering efficiency through automation, testing, and deployment proven practices. Act as a mentor to junior engineers and interns, providing guidance on technical challenges. Share knowledge through design reviews, code walkthroughs, and internal presentations. Integrate AI capabilities into daily operations for predictive insights and automation. Establish and implement mature and efficient DevOps processes such as SDP (release), Livesite, buildout environment and tool chains for high service reliability and availability.  Participate in On-Call and Site Reliability rotations, ensuring live-site health and driving engineered solutions. Drive technical clarity and alignment across multiple teams and organizations, influencing strategy, mentoring peers, and ensuring delivery of high-impact, customer-focused results.

🚀 Company Overview Our client is a US-based technology company operating several large-scale global platforms. The products serve users from different cultures and regions, with millions of active members worldwide. The engineering team focuses on building high-traffic, high-availability systems and continues to upgrade the platform with AI-driven solutions. The company has a mature remote-work culture and values ownership, system reliability, and long-term technical growth. This role offers the opportunity to: Work on global-scale products Solve distributed system and high-concurrency challenges Apply AI in real production environments Participate in real architecture and technical decisions If you are looking for both technical depth and real impact, this could be a great next step in your career. 🧩 Responsibilities Full Stack Product Development Build and maintain end-to-end features across backend and frontend systems Design clean APIs and scalable data models Collaborate with product and design teams to deliver stable and user-friendly features AI Pipeline Data Systems Build and improve AI data processing and serving pipelines Evaluate and integrate new databases, including search and vector databases Optimize data retrieval, ranking, and performance Live Streaming System Reliability Troubleshoot issues across ingest, transcoding, delivery, and playback Improve system observability and platform health monitoring Develop tools to prevent repeated production incidents Reporting Monitoring Build dashboards and stability reports for uptime, latency, and errors Improve alerting systems with clear and actionable signals Use AI tools for anomaly detection and incident analysis 🛠 Tech Stack Backend: Python / Java / Node.js Frontend: React Databases: Postgres / MySQL / Redis / NoSQL Search Vector DB: OpenSearch / Elasticsearch / Qdrant Streaming: RTMP / HLS / WebRTC / FFmpeg Observability: Grafana / Kibana / Datadog / Prometheus Cloud: AWS / GCP / Azure DevOps: Docker / Kubernetes / CI/CD

我們從計程車叫車 App 出發，55688 App 已突破 720 萬會員、累積超過 100 萬次下載，並維持 4.8 星高評價。隨著服務擴展至快遞、找專家、洗衣等生活服務，我們正朝向能承載高即時流量與高可靠度需求的 Super App 邁進。 目前團隊已具備研發與第一線維運人員，正在建立 SRE（可靠度工程）能力，希望邀請對系統穩定性、工程化改善有熱情的工程師，一起把基礎打好、制度建起來。 一、職務定位 1. 負責維持系統在 7x24x365 營運模式下的穩定性、可用性與可擴展性，透過工程化方式降低事故發生率、縮短復原時間，並建立自動化、標準化的部署與維運流程，使系統能安全、快速、可預期地持續交付。同時與研發工程師密切合作，將穩定度、可維運性與交付能力內建於產品開發流程中。 2. 這是一個 SRE / DevOps 的探索與建設角色（0→1），我們不期待你一來就建立完整 SRE 體系，能與團隊逐步建立可靠度工程的基礎能力與共識。 二、Incident / on-call 分工說明 1. L1（第一線）即時應變：由維運人員負責。 2. 本職位為 L2 on-call 支援角色，專注在可靠度與穩定性。 3. 核心價值在於： * 事後改善。 * 制度建立。 * 用工程方式降低事故發生率與影響範圍。 三、你會做的事（工作內容） (一) SRE（可靠度工程｜L2） 1. 與團隊一起盤點關鍵服務，逐步導入服務可靠度目標： * Service Level Agreement * Service Level Objective * Error Budget 2. 協助設計與改善系統架構： * 高可用架構（Load Balancer、Auto Scaling、Failover）。 * 健康檢查與自動復原機制。 3. 進行容量規劃與壓力評估： * Capacity Planning。 * 事前評估壅塞與資源不足風險。 4. 建立與優化可觀測性（Observability）： * Metrics（CPU、Memory、QPS、Latency、Error Rate） * Logs（集中化日誌） * Tracing（分散式追蹤） 5. 設計合理告警策略： * 避免大量無效或過度頻繁告警。 * 讓告警更貼近實際風險與業務影響。 6. 參與 L2 on-call 支援： * 協助分析系統性問題與 Root Cause。 * 評估是否需要： a. 回滾版本。 b. 降級服務。 c. 進行跨系統處置。 7. 主導或協助完成 Incident Report 與 Postmortem： * 系統性整理事故過程與影響。 * 將每一次事故轉化為具體改善行動與制度。 * 追蹤改善措施的落實情況。 (二) DevOps 1. 建立與維護 CI/CD Pipeline： * 例如 Jenkins、GitLab CI、GitHub Actions。 * 確保流程穩定、可重複且易維護。 2. 將以下流程自動化，降低人工操作風險： * Build。 * Test。 * Security Scan。 * Deploy。 3. 支援多環境的一致性與部署效率： * Dev 環境。 * Staging 環境。 * Production 環境。 4. 導入 Infrastructure as Code： * 例如 Terraform。 * 提升環境管理與佈署的可重現性與可追蹤性。 5. 建立與完善發布與回復機制 6. 與 QA、RD 協作： * 透過流程與工具設計降低發版風險。 * 在速度與穩定之間取得平衡。 (三) 與研發與維運團隊協作 1. 與 RD 協作，將穩定度與可觀測性納入開發流程，例如： * 設計 Health Check 機制，讓系統狀態可被自動偵測與監控。 * 規劃服務降級與備援設計，確保在部分功能異常時，核心流程仍可運作。 * 持續消除單點故障（SPOF），提升整體架構的高可用性。 2. 提供標準化平台能力，讓各產品團隊能共用： * CI/CD Pipeline 範本。 * 監控標準模組。 * 告警標準規則。 3. 與研發與維運團隊共同建立基礎 SRE 實踐： * Incident handling 流程： a. 通報。 b. 應變。 c. 復原。 * Runbook 撰寫與持續改善： a. 讓常見情境有標準作業手冊可依循。 * 基本 SLO / Error Budget 導入與追蹤。 4. 透過文件、分享與實務協作： * 提升團隊對 SRE 思維與方法的理解。 * 建立跨團隊對穩定度的共同語言與共識。 四、我們期待你具備的條件 (一) 必備條件 1. 3–5 年以上 DevOps 或 SRE 相關實務經驗。 2. 熟悉作業系統與網路基礎： * TCP/IP。 * DNS。 * HTTP。 * Load Balancer 等相關概念。 3. 熟悉至少一種雲端平台： * 例如 GCP 或 Azure。 4. 熟悉容器與編排技術 5. 具備 CI/CD Pipeline 建置或維護經驗。 6. 熟悉或曾接觸 Observability 工具，例如： * Prometheus / Grafana。 * ELK（Elasticsearch / Logstash / Kibana）。 * Datadog。 * OpenTelemetry 等。 7. 能配合 L2 on-call 支援： * 接受輪值制度。 * 願意以工程方式持續降低 on-call 負擔與頻率。 8.具領導資淺同仁、指派工作經驗，協同完成工作內容。 (二) 加分條件 1. 有即時高流量系統經驗（即時服務、電商、金流）。 2. 具效能調校、容量規劃或壓力測試實務經驗。 3. 具雲端或平台資安實務經驗，例如： * 權限設計。 * 資安防護。 * 合規與稽核相關經驗。 這不是一個「只是在前線救火」的職位， 而是一個能與團隊一起把 SRE 能力與制度從 0 建起來的角色。 如果你喜歡把混亂變成秩序、 把事故變成制度、 把人力應變變成工程化改善， 我們會很期待和你聊聊。

《行政管理面》 IT課部門維運、課內人員管理IT部門預算編列全公司IT開發案件需求掌握及專案管理 《業務面》 Microsoft AD服務＆ Server 系統管理 Network Infra網路管理維護 Microsoft M365 ＆ Google GWS 維護 POS系統架構維護其他以IT觀點協助、規劃公司整體業務物流效率化新提案 如：電子簽核及電子表單、財會作業效率化等【福利】獎金：2個月 , 1年分兩次給付（ *依業績變動） 職福會發放三節獎金（每筆2千元左右）、婚喪生育住院津貼（每筆2~3千元）語言學習補助制度 18,000元/年（半年給付9,000元） 非語言類與業務相關教育補助無限制金額 年度健檢（半天有薪健檢假）公司設置職工福利委員會（不定期員工旅遊或聚餐） 完全週休二日制（免補班） 試用期滿後每年四天全薪病假 公司商品員購優惠（不限時期、數量）

公司介紹 這是一家來自亞洲、在全球資安市場具領導地位的軟體公司，產品橫跨五大洲，長期與國際級組織及大型企業合作，為全球數千萬用戶與企業客戶提供即時威脅防護。 公司核心研發團隊位於台灣，工程師人數破千人，是亞洲少數具備全球產品影響力的純軟體技術團隊。 在 AI 與雲端原生架構快速演進的時代，公司打造新世代 AI 驅動資安平台，整合威脅情報、零信任架構與跨雲防護能力，持續投入高規格研發資源。 這不只是維運既有系統，而是參與全球級資安平台核心服務的開發與演進。 工作內容 參與企業級雲端資安平台核心服務開發（Microservices 架構） 設計與開發高品質 RESTful APIs 建構可擴展、高可用性的雲端服務 與跨國團隊（PM / Architect / QA / UX）合作推動產品落地 參與需求討論、架構設計與技術決策 持續優化 CI/CD 流程與自動化部署機制 協助解決跨團隊技術整合與疑難排解 技術環境 Cloud: AWS / Azure Backend: Golang / Python / Java Architecture: Microservices / RESTful APIs Database: PostgreSQL / MySQL / Redis / DynamoDB / ElasticSearch DevOps: CI/CD Pipeline / Agile / DevOps Culture OS: Linux / Windows 為什麼值得加入？ ✔ 全球級產品規模與真實流量場景，挑戰高併發與分散式系統設計 ✔ 工程師文化濃厚，跨國技術交流機會多 ✔ AI 與雲端安全領域，產業賽道具長期成長性 ✔ Hybrid 工作模式 + 彈性上下班 ✔ 穩定 14 個月薪資結構 + 分紅制度 ✔ 台北市大安區，捷運步行可達

❗️投遞履歷請一律至專屬的職缺網頁：https://25sprout.teamdoor.io/s/ML8ElGFS 目前此職缺為常態徵才，直接透過 Cake平台投遞將不會回覆唷 我們正在尋找一位 Mid-level SRE（Site Reliability Engineer），成為團隊的可靠後盾。你的任務是確保系統穩定運行、雲端環境高效管理、流程持續自動化，讓用戶體驗更順暢、工程師開發更專注。如果你熱愛新技術，喜歡動手解決問題，也樂於與不同角色協作，歡迎加入我們一起：） ▍你的工作將包括： Linux 作業系統管理與維運（RedHat / Debian / Ubuntu 等）網站/應用環境建置與維護（LAMP / LNMP）CI/CD 流程整合與最佳化（Jenkins / GitLab CI/CD）憑證、金鑰與機密管理（SSL/TLS、Vault 等）雲端平台資源管理（AWS EC2 / S3 / RDS、Azure、GCP 等）建置監控與告警系統，確保服務高可用性（Prometheus / Grafana / ELK）自動化工具與基礎架構即程式碼導入（Terraform / Ansible / CloudFormation）

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.

**Job Title:** Manager, Software Engineering 1**Functional Area:** Engineering (ENG)**Career Stream:** Design - Software Engineering**Role:** Manager (MG1)**Job Code:** MG1-ENG-DSE**Job Band:** 09**Direct/Indirect Indicator:** IndirectWe are seeking an experienced Test Manager, Engineering to lead a team of QA engineers responsible for testing our next-generation AI datacenter products. This role involves overseeing the entire testing lifecycle, from planning and execution to reporting and defect management. The ideal candidate will have a strong background in hardware and software testing, a deep understanding of AI/ML workflows, and a proven track record of managing and mentoring high-performing teams. You'll be the bridge between technical teams and product managers, ensuring the quality and reliability of our cutting-edge AI hardware solutions**Required Qualifications**• Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Network Engineering, or a related technical field.• 5+ years of experience in Networking/Server/Storage quality assurance role.• 3+ years of experience directly managing and mentoring a team of QA or test engineers.• Proven track record of building and managing high-performing teams, including hiring, performance management, and career development.• Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively with engineers, product managers, and senior leadership.• Strong leadership qualities with a focus on empathy, psychological safety, and creating a positive team culture.• Practical experience with test automation concepts and how to guide a team in its implementation.• Solid understanding of the software and hardware development lifecycle, with a focus on quality assurance methodologies.• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.• Proficiency in at least one scripting language (e.g., Python, Bash) for test automation.• Experience with Linux/Unix operating systems and command-line tools.• Experience with defect tracking systems (e.g., Jira, Azure DevOps) and version control (e.g., Git).**Preferred Qualifications**• Experience with orchestration platforms.• Experience with ESXi• Familiarity with cloud networking concepts (AWS, Azure, GCP).• Knowledge of network security principles and testing.• Relevant industry certifications (e.g. CCNP Data Center, Linux Foundation Certified Engineer, Mellanox certifications).**Notes**This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.**COMPANY OVERVIEW:**Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development -- from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.Celestica would like to thank all applicants, however, only qualified applicants will be contacted.Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.

1. 負責雲端（Azure、AWS、GCP）與地端相關之解決方案架構規劃、建置/遷移及維運管理2. 配合專案所需的建置、設定並建立系統管理相關的SOP文件3. 監測和排除雲端/地端基礎設施的問題，並提供技術支持4. 配合客戶專案需求之工作調整5. 製作相關文件以協助客戶加速產品導入，如規劃建議書、評選簡報等文件等。6. 同PM確認客製化規格、釐清客戶需求，並進行系統分析規劃撰寫作業(SA/SD/ERD)7. 與客戶端的IT人員溝通，釐清雙方系統整合上的開發細節

[本職缺僅接受104網站投遞] 請至統一超商104招募頁面投遞個人履歷表，路徑指引:https://www.104.com.tw/job/8p2a1?jobsource=google【工作內容】1. 設計資料模型與數據建模轉化 (Data Modeling)：主導 數據架構規劃與 Medallion 模型設計，定義企業級 Golden Table 規範，確保模型具備高度擴展性以支援 AI/ML 應用。2. BI 報表與儀表板開發：根據專案需求，在 Databricks 上以 Python / SQL 建置視覺化儀表板，並主動優化報表讀取效能。3. CDP 數據維護：主導 CDP 核心邏輯設計，包含用戶 ID Mapping、行為標籤化及多通路歸因邏輯，建構單一用戶視角 (Single Customer View)。4. 數據品質監控：維護數據管道 (Pipeline) 的日常運作，執行數據驗證，確保報表數據一致性。5. 跨部門協作／角色：參與業務需求討論，將「商業問題」轉化為「數據需求」，並協助資料科學家準備模型訓練所需的特徵資料。6. 推動資料治理：制定並推動資料治理政策與標準，進行元數據管理/權限設計/血緣管理，確保資料資產的管理做法符合最佳實踐。【專業能力】【Required】1. Python：能運用物件導向 (OOP) 與 Functional Programming 設計模式編寫具備可擴展性、易於維護且可測試 (Testable) 的程式碼。2. SQL：熟悉 Join 邏輯、Window Functions 以及效能調優。3. 數據模型經驗：具備 Data Modeling (Star Schema / Snowflake Schema) 實務設計經驗。4. Databricks / Spark 實務：Databricks 平台操作與實務經驗，能在 Notebook 或 Workflows 中管理資料流程，並深度理解資料分層（Bronze/Silver/Gold）的意義，能根據資料成熟度將資料放置在正確的資料分層，並從中運用 PySpark 或 Spark SQL 處理大規模資料轉換。5. 自動化調度：具備至少一種 排程編排工具（Databricks Workflows 或 Airflow）的基礎經驗，能編排並優化複雜的任務排程。6. 視覺化工具：具備至少一種 BI 工具經驗（Databricks Dashboard / Power BI / Tableau / Looker），具備基礎的視覺化設計美感，知道如何清楚呈現 KPI。【加分條件】【Nice to have】1. 零售或電商領域知識：了解零售／電商常見指標（如：AOV、轉化率、歸因模型）。2. 數據管理經驗：曾接觸元數據管理與數據治理相關經驗。3. 雲端經驗：具備至少一種 AWS / GCP / Azure 雲端平台操作基礎。4. CICD：具備 Databricks Asset Bundle / GitHub Actions 經驗，能將數據管道的部署自動化，並導入數據品質監控。▲uniopen團隊在做什麼?https://blog.104.com.tw/the-innovative-integration-of-the-uniopen-team/