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工作內容如下: 1. 軟體專案(Web, Android, Apps, etc.)自動化系統建置, 包含: A) Automated test systems B) Continuous Integration (CI)/Continuous Delivery (CD) C) Containerization (Kubernetes/Docker) D) Server configuration E) Monitoring and alerting 2. 配合專案撰寫各種自動化測試項目 3. 標準化部門軟體專案開發

1、開發經驗數據分析，特別是LLM和多模式基礎模型。 2、使用深度學習框架，如TensorFlow和PyTorch的經驗。 3、使用RAG，SelfRAG，VectorDb，GraphDB的經驗。 4、使用LLM優化框架的經驗，例如VLLM、 Ex-llama、 llama.cpp。 5、使用 Docker、Kubernetes 、Triton Inference Server 或 TensorRT的經驗。 6

負責監控與告警系統的建置、維護和管理，並追蹤、分析突發事件後續情況。 維護並更新 CI/CD Pipeline，確保持續整合和持續交付的順暢運作。 管理 Docker 與 Kubernetes 等雲端佈署工具，確保應用程式的順利部署和運

Ability to use configuration management tools and revision control system (e.g., Git) Experience with CI/CD & Automation systems (e.g., Jenkins) Experience with AWS Core Services: EC2 / ELB / S3 / CloudFront/ IAM/ VPC, AWS SDK and CLI Build & operation container based platform with Nomad / Consul / Kubernetes. Experience with monitoring, alerting, and log pipeline analysis tools (Graylog2, ELK, Prometheus, etc.)

統基礎建設、部署和維護高可用性、可擴展性和安全的雲基礎設施。 ◆ 設計和實現容器編排工具，如 Kubernetes，以支持部署和管理容器化應用程序。 ◆ 設計和實施自動化工具和流程 (CI/CD)，以提高部署和測

用情境規劃與開發除錯 5. IoT, AI, AR等新技術於企業領域之應用整合與後端服務建構 6. Container (Docker, Kubernetes)技術應用與佈署 7. CI/CD自動化系統整合 關於這個職缺, 專業技能需求簡列如下: 1. Programming languages

並交接與控管品質。 加分項目: •具 backend 技術經驗。 •熟悉一種SQL，PostgreSQL、MySQL、SQL Server 或其他SQL資料庫。 •有碰過或理解 Kubernetes 的運作部署方式。 •部署過 Azure, AWS or GCP 的雲端服務。 •維護或實作過萬人同時在線的產品。 •維護或實作

故障排除作業 4. 制定運維方案，自由探索新的運維技術方向 4. CI/CD 流程維護與優化 5. Kubernetes 環境管理與維護 6. 監控與日誌相關系統的管理與維護 7. 協助開發排解任何運維流程的

Are you an experienced Site Reliability Engineer (SRE) with a passion for cloud-native technologies, particularly within Google Cloud, and on-premise Kubernetes expertise? Join our team and play a pivotal role in shaping the future of our AdTech/MarTech solutions based on telecom data. • Cloud Expertise : Leverage your proficiency in cloud technologies, particularly within Google Cloud, to manage our services efficiently and reliably. • Monitoring and Rapid Troubleshooting : Establish and mainta

Re sponsibilities Lead the architectural migration of services to Kubernetes on GKE, focusing on efficiency and scalability. Enhance operational aspects of infrastructure, including deployment, logging, monitoring, and alerting systems. Develop best practices for production infrastructure management: provisioning, scaling, configuration, and monitoring. Establish robust CI/CD pipelines and development processes to support engineering workflows. Collaborate with the engineering team to address lo