Vpon AI Big Data Group_威朋大數據股份有限公司

你喜歡保持工作環境的井然有序，打造順暢的辦公氛圍，並讓大家的工作更輕鬆嗎？我們正在尋找一位積極主動且注重細節的行政專員，協助管理辦公室運營、差旅安排及有趣的員工活動！如果你喜歡工作內容多元，並且適應快速變化的環境，那這個職位將非常適合你！ [辦公室運營與管理] -確保辦公室日常運作順暢（我們的辦公室位於 WeWork，因此維護需求較少！） -負責郵件、快遞及辦公用品管理 -協調會議室預訂，確保會議安排妥當 [差旅與員工支援] -協助安排商務旅行，包括機票、飯店及行程規劃 -接待面試者，確保新進員工擁有良好的第一天體驗 [員工活動與職場氛圍] -協助籌劃團隊活動、節日慶祝及內部員工活動 -支援公司內部委員會，協助推動各類有趣的員工計畫 [我們希望你具備] -具備 1 年以上行政管理、辦公室管理或相關經驗 -細心、主動，並擅長組織與規劃 -熟悉 Microsoft Office（Word、Excel、PowerPoint） -具備良好的溝通能力，能與不同團隊及供應商協調合作 -具備基礎英文能力，可處理簡單郵件或基本溝通者佳 如果你喜歡為工作帶來秩序、讓日常運作更順暢，並希望打造愉快的工作環境，那我們很期待你的加入！ 由於總務職位的工作性質，需要現場處理相關事務，因此無法提供遠端辦公，還請見諒。

Job Description: As a Cloud Architect with data engineering expertise, you will: 1. Manage and optimize Google Kubernetes Engine (GKE) environments, implementing auto-scaling and resource optimization 2. Enhance GCP-based cloud architecture ensuring high availability, security, and cost efficiency 3. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to ensure environment consistency 4. Lead cloud security strategies, including IAM, network segmentation, and API security 5. Manage CI/CD automation pipelines to accelerate development delivery cycles 6. Architect scalable data processing systems supporting both batch and real-time data flows 7. Collaborate with data analysts, data scientists, data engineers, and developers to enable technical innovation, ensuring that cloud-based environments meet business and security requirements 8. Implement data security and compliance requirements, ensuring proper protection of sensitive data Requirements: 1. Cloud Architecture: 2+ years of experience in cloud architecture design and management, with expertise in GCP and architecture decision-making capabilities 2. Container Orchestration: Hands-on GKE experience, including cluster management, performance tuning, auto-scaling strategies, and multi-cluster networking configurations 3. Network Infrastructure: Experience with DNS configuration, firewall rules implementation, load balancing strategies (Cloud Load Balancing, Nginx), and network segmentation for multi-tier applications 4. CI/CD: Strong knowledge of automated deployment pipeline design and implementation using GitLab CI/CD, GitHub Actions, or Cloud Build with integrated security scanning 5. Security & Compliance: Understanding of cloud security best practices, including IAM, API security, encryption, network security, and compliance frameworks implementation 6. Infrastructure as Code: Expertise in Terraform for managing cloud resources, with modular design thinking and experience creating reusable infrastructure components 7. Database & Storage: Knowledge of diverse storage solutions including BigQuery, ClickHouse, Apache Iceberg, PostgreSQL, MySQL, Redis, Firestore, and Airtable, with optimization experience 8. Data Engineering: Expertise in hands-on ETL job design and data processing component development using tools like Airflow, along with real-time data pipeline experience (Kafka, Pub/Sub, Flink, Dataflow) 9. Programming: Proficiency in SQL, Python, Bash, or Go for automation, scripting, and cloud infrastructure management 10. AI-Assisted Development: Experience leveraging GenAI tools (ChatGPT, Claude, or Gemini) to automate, troubleshoot, and optimize cloud operations

[About Job] -Develop data products and manage project execution to deliver data solutions to clients. Systematically explore user behavior and ad response data to discover actionable insights. -Design data visualizations for clearly delivering prescriptive analytic results to both business and technical audiences. -Write well-organized reports and prepare impressive slides for presentationsCommunicate with business teams or clients to gather requirements and define the business objective. [About You] -Excellent in exploratory data analysis skills. -Solid in SQL-like data query and programming skills, such as BigQuery. -Experience in data visualization and building insights dashboards using, such as Tableau, Looker or Kepler. -Proficient in cloud services and related practical experience -Familiar with GA console and the definition of both dimensions and metrics in GA. -Good programming skills in Python or R is a plus. -Statistical data analysis or applied microeconomic analysis is a plus. -Good communication/collaboration skills with multi-disciplinary teams or people. -Fluent English is needed.