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【Company Highlights】擁有超過三十年的醫療領域實戰經驗的開發與經營團隊，將多年累積的專業知識融入國際醫療需求，並結合最新技術，創造現代化且友善易用的高端產品。【Responsibilities】Kubernetes 集群的設計與部署確保系統高效與靈活性性能監控與故障修復推動運維自動化技術整合與支持伺服器管理與資源規劃

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. The Facility Computer Integrated Manufacturing Department (FDCIM) is part of the Intelligent Manufacturing Center (IMC) at TSMC. It is primarily responsible for the development and maintenance of the following products: Development and maintenance of manufacturing-related report products for wafer fabs.Development and maintenance of engineering-related report products for wafer fabs.Development and maintenance of digital operation system products for facility management.Development and maintenance of big data application system products for facility management.Development and maintenance of facility management AI and machine learning related algorithm development and application system products. Responsibilities: FDCIM also employs software engineering and modular development techniques, combined with high-performance database application technologies, to develop systematized software with a unified version control system that accommodates different time zones and languages globally.In addition to its regular software product development work, FDCIM is also engaged in the research and development of new technologies, including the application of DevOps, Microservices, MLOps, AIOps, and more. Develop and maintain AI/ML systems and algorithmsCollaborate with cross-functional teams to identify and solve business problems using AI/ML techniquesDesign and implement machine learning models and data pipelinesTest and validate AI models for accuracy, scalability, and efficiencyDeploy AI solutions to production environmentsStay up-to-date with the latest advancements in AI technologies and industry trendsWrite clean and efficient code using HTML, CSS, and JavaScriptOptimize web applications for speed and scalabilityTest and debug web applications across multiple browsers and devicesStay up-to-date with the latest front-end development trends and best practices

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolioYour role and responsibilities System Architecture Design: Design and enhance system architecture to meet business requirements, ensuring high scalability, reliability, and alignment with existing functionalities.Software Development: Develop backend services using Java 11+ and Spring Boot 2.x, implement microservices architecture, and utilize Kubernetes for container orchestration; also contribute to frontend development using Vue / Angular / TypeScript.Documentation: Maintain and update system documentation, including architecture diagrams, deployment guides, and user manuals; create new documents such as API documentation, user guides, and operational manuals.Production Environment Issue Resolution: Monitor production environments, promptly identify and resolve issues, and analyze system logs and performance metrics to improve stability and efficiency.Development Lifecycle: Handle program development, unit testing, test report preparation, and investigation of production environment issues.