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/模型服務 API 開發。 4.數據/模型專案程式的自動化及監控設計。 5.數據平台/產品開發、維護。 6.數據處理流程開發、Pipeline 維護管理、進行CI/CD 優化開發/部署流程。 【打造您的成長，從信義開

你，歡迎加入！ 【Job Description】 1. 監控與告警系統之建置與維護，並進行突發事件後續追蹤與分析 2. CI/CD Pipeline 維護與更新 3. Docker 與 K8S 等雲端佈署管理 4. 分析系統瓶頸，優化架構和優化性能 5. 協助

新創社群公司 監控與告警系統之建置與維護，並進行突發事件後續追蹤與分析 CI/CD Pipeline 維護與更新 Docker 與 K8S 等雲端佈署管理 分析系統瓶頸，優化架構和優化性能 協助應用系統、資料庫高可用部

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

To be a problem solver! Discuss with product owner and UX designer for customer needs Design implementation detail and provide preview/test/release schedule Work with team for enhancing data pipeline efficiency Work with team for designing API interfaces (most of them will be restful API) Monitor and fine tune system performance

Responsibilities Develop automated tests and test frameworks Improve our Continuous Integration pipeline Identify and execute on opportunities to improve or establish quality processes Help automate all aspects of the software engineering process Review designs and code done by others and provide constructive feedback Continuously develop your own skills and help others to improve their abilities

推行IT規範政策。 管理維護Gitlab、Gitlab Runner、ArgoCD等CI/CD平台層。 協助產品開發部門為他們自行撰寫的CI/CD pipeline、監控與日誌等設定進行問題定位與故障排除 持續研究與改進Kubernetes、CI/CD、監控與日誌等相關

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.)

=== Responsibilities=== 1. Lead the design, development, and optimization of scalable and reliable RPA backend systems using the Go programming language. 2. Enhance on-premise/cloud application deployment 3. Build and maintain CI/CD pipeline for backend services. 4. Contribute to code reviews, technical design, and architectural decisions. 5. Write unit/integration tests to ensure code quality. 6. Participate in Scrum development processes. === Leadership Responsibilities (Optional

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