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作為 DevOps 實習工程師日常工作內容不僅是維護現有系統的穩定性，你還將參與和推動各團隊技術的前沿發展，用科技創造價值。 職責： 優化 CI/CD 流程，確保系統的高可用性。參與日常系統維運和監控，提升系統效能與穩定性。 *時薪可依實際貢獻度調整

- 職務說明 因應未來業務拓展、規劃，嘗試各種資訊解決方案設計、建置與維護 GCP 雲端基礎設施 (GKE, GCE, Cloud SQL 等)，並專注於其可靠性、擴展性根據利害關係人或同事提出的問題，提供專業的意見，並協助解決問題與公司內部決策者合作，了解其目標，研究並提供解決方案管理 CDN、DNS 等網路基礎服務，確保外部連線的穩定與快速監控、告警與日誌系統的建置與優化CI / CD 設定與維護新技術研究簡單的電腦設備管理

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. Are you looking to be a part of the most influential company in the semiconductor industry that is changing the world? TSMC Corporate Planning Organization (CPO) plays a strategic role in TSMC’s growth. We develop global planning and provide quick responsiveness to coordinate needs between factories and customers, driving for business effectiveness to bring world-changing innovation into reality. Responsibilities: CPO is seeking highly motivated Corporate Planning Associates with strong capabilities for problem solving and planning optimization etc. related to resources, production and customer affairs. As an Associate, you rotate through different 3 roles in the first year to gain broad exposure to TSMC corporate planning. Also, you’ll receive tailored training along the way. The program includes 2 rotations focused primarily on operation resources planning, production planning or business operation. Additionally, it offers opportunities to engage in strategic planning or business process reengineering for analytics or process improvement. At the end of the rotation program, you will have the foundational skills to be successful at TSMC CPO and be placed in a role that matches your talents and business needs.Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwanas well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nmproduction in 2025, the second by 2028, and the third by the end of the decade. 1. Understanding user requirements and project KPIs2. Support DevOps manager to led team members to fulfill the assignment with good quality3. Implementing various development, testing, automation tools, and IT infrastructure4. Review, verify, and validate the software code developed in the project5. Ensure high availability and service level of product daily operation

加入艾爾默科技，成為我們運維工程師團隊的一員。作為東南亞領先的在線系統B2B供應商，我們致力於創新與發展，期待擁有熱情與敬業精神的您加入我們的行列，共同推動線上系統行業的未來。

Minimum qualifications: Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience. 8 years of experience in DevOps or infrastructure engineering, with experience in a leadership role. Experience in CI/CD pipelines (e.g., Jenkins, GitLab CI) and infrastructure automation tools such as Terraform or Ansible. Experience managing version control systems and optimizing databases such as PostgreSQL or MySQL. Experience in Python, C++, and Bash scripting. Preferred qualifications: Master's degree in a relevant technical field. Experience with the DevOps VLSI, semiconductor, or hardware design industry. Experience with MLOps applied to infrastructure management and with containerization (Docker, Kubernetes). Ability to communicate technical roadmaps to global stakeholders and lead high-performing teams in fluid environments. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASIC) used to accelerate and improve traffic efficiency in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Define and manage the strategy for CI/CD pipelines, configuration management, and infrastructure automation across the VLSI design lifecycle. Optimize large-scale distributed infrastructure, including compute farms and storage, ensuring high performance for complex chip design workloads. Oversee critical services such as version control systems, build systems, and design data management. Provide technical mentorship to the DevOps team and collaborate with CAD and Design teams to deliver tailored solutions. Drive the adoption of Google DevOps tools and Infrastructure-as-Code (IaC) principles. Integrate AI/ML techniques into infrastructure management for enhanced operational efficiency and capacity planning. 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.

【工作內容說明】1. 管理與維護 Linux Windows Server 系統2. 容器化服務管理 : 透過Docker Compose等容器化管理工具進行容器集群的部署、監控和擴展，以確保系統的高可用性和可擴展性3. 1年以上的敏捷開發流程經驗4. 自動化佈署 : 具備 Gitlab / Azure Devops 相關工具操作和CI/CD流程設計和開發5. 系統監控 : 具備 Prometheus / Telegraf / Grafana 等監控技術的使用、優化、故障排查、告警的經驗和能力6. 自動化腳本撰寫（Shell/Python）7. 日常維運故障排除、維持系統穩定性、事件處理和追蹤、跨單位合作專案等交辦事項【加分特質】- 有良好的溝語言溝通能力和分析能力- 有責任心及團隊精神，思維嚴謹、邏輯性強 - 具備較強的責任心和執行力 【加分條件】1. 有IaC經驗者（Terraform, Cloudformation etc ）2. 具備網路基礎知識(DNS、TCP/IP、Firewall、Load Balancer、Security)3. 雲端佈署 : AWS上配置和管理基礎設施

【Responsibilities】主導並持續演進以資料與平台為核心的系統架構，支援高流量即時服務與分析型工作負載。參與下一階段系統架構的設計與落地，聚焦於可擴展性、穩定性與維運效率。與後端、平台及產品工程師密切合作，將需求轉化為可在正式環境長期運行的解決方案透過改善系統可觀測性、穩定度與可維護性，降低營運成本並提升工程團隊效率。參與跨層級的技術討論與關鍵架構決策，影響整體平台技術走向。

1、日常運維工作，包括部署 CI/CD、故障處理等。2、負責並優化專案各項業務的基礎環境。3、優秀的排查問題, 能快速索引到異常並反映專案開發與負責人。

We are looking for a pragmatic and proactive Cloud Data Engineer to join our core data team. In this role, you will be responsible for the critical task of consuming tracking data from the webshop and transforming it for the Business Intelligence (BI) Core Warehouse. This is a high-impact position. You will work with a modern tech stack on the Google Cloud Platform to ensure our data pipelines are robust, scalable, and capable of handling high volumes of traffic. If you are an advanced Python developer who loves Infrastructure as Code and thrives in a dynamic environment, we want to hear from you. Key ResponsibilitiesPipeline Development: Design, build, and maintain scalable streaming data pipelines using Apache Beam (Dataflow) and Python.Infrastructure as Code: Take ownership of our cloud infrastructure using Terraform (Advanced level) to manage resources on Google Cloud Platform.Orchestration: Manage and optimize complex data workflows using Apache Airflow (Cloud Composer).Reliability Monitoring: Ensure the stability of high-importance products. Implement monitoring solutions using Grafana to keep a pulse on system health.CI/CD: Maintain and improve CI/CD pipelines using GitHub Actions to ensure smooth and reliable deployments.Collaboration: Work independently on tasks while communicating effectively with the team to integrate solutions into the wider ecosystem (BigQuery, Snowflake).

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