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主要職責： 1.設計並實現高可用性、可擴展且安全的Google Cloud Platform雲端架構，確保符合客戶業務需求與技術要求 2.評估現有系統架構，提供最佳化方案與雲端遷移策略 3.建立與管理核心GCP服務，包括Compute Engine、App Engine、Cloud Functions等運算服務與VPC、Cloud Interconnect、Cloud Armor等網路服務 4.設計與實施資料庫解決方案，熟悉Cloud SQL、Cloud Spanner、Firestore、BigQuery等服務的部署與最佳化 5.實施基礎設施即代碼(IaC)策略，使用Deployment Manager、Terraform等工具自動化部署流程 6.建立全面的監控與告警機制，運用Cloud Monitoring、Cloud Logging確保系統效能與安全合規，並進行故障排除與效能優化 7.設計與實施AI/ML解決方案，包括使用Vertex AI、Gemini API、Vision AI等GCP AI服務，協助客戶將AI功能整合至其應用程式與業務流程 8.開發與部署機器學習模型，使用AutoML、BigQuery ML等工具，並建立模型監控與管理流程 9.協助客戶解決技術問題，提供諮詢與支援，作為客戶與技術團隊間的溝通橋樑 10.持續關注GCP新服務與最佳實踐，不斷改進架構設計

Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience with selling Oracle database software and database infrastructure solutions, particularly the Exadata family of products such as on-prem and cloud, Oracle Autonomous database. Experience building and managing agreements or partnerships with System Integrator and other partners. Experience working with C-level executives and cross-functionally across all levels of management. Preferred qualifications: Experience delivering cloud agreements including in traditional enterprises. Experience working in an overlay sales role influencing cross-functional teams to impact business goals. Knowledge of the licensing policies and constructs for Oracle software and for running on cloud hyperscalers. Knowledge of the multiple Oracle database deployments archetypes like data warehousing, custom and ISV applications and their dependencies. Knowledge of the Oracle ecosystem including the Oracle Applications portfolio and Oracle Cloud Infrastructure. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud and Oracle have a partnership that allows customers to run Oracle services in Google Cloud and integrate with Google Cloud services.As a Sales Specialist for Oracle, you will help us grow by building and expanding relationships with new and existing customers to deploy their Oracle workloads on Google Cloud. You will lead day-to-day relationships with cross-functional team members to engage with customers and serve as a sales lead for Oracle on Google Cloud Platform (GCP).Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Identify customers Oracle estate, workload types, qualify and progress opportunities for Oracle on Google Cloud. Work with the country leadership team to develop segment-specific plans for winning and migrating Oracle workloads to Google Cloud. Work with cross-functional teams (e.g., sales representatives, customer engineering, marketing teams) to develop and execute go-to-market strategies. Advocate the Oracle on GCP Value Proposition to customers that have Oracle as their platform to build new cloud-native apps with Oracle, migrate custom-built and packaged apps leveraging Oracle Database at GCP for databases and GCP services for the application tier. Collaborate with the partner team to activate Oracle-skilled partners to support the migration of Oracle databases and applications to Google Cloud. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., C or C++). 3 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience with developer operations, release management, integration testing, and open source community collaborations. Experience in enterprise server or storage systems. Ability to leverage Python, Go, and Shell scripting to automate the large-scale, secure management of server fleets and hardware components. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Develop and execute on technical charters for owned areas. Influence roadmap decisions, and define and implement the known practices across teams. Lead the programs of system software development for next-generation storage devices and systems to introduce the latest technologies of performance, reliability, security, and cost-effectiveness to the infrastructures. Lead the programs of system software development for large-scale system verification, automating diagnostics, system configuration management, and operation metrics collection. Mentor the team by modeling standards, providing guiding feedback, and implementing new practices to improve productivity. Contribute innovative ideas and skills to the team. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience. 2 years of experience with programming in Python, C++, Java, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture. 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience in working with multiple enterprise and cloud technology systems, designing solutions, or developing business applications. Experience in one of the Large Language Model (LLM) frameworks (e.g., NeMo Megatron, MaxText, etc.). Experience with Kubernetes or Slurm. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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 Create and deliver production solutions, best practice recommendations, tutorials, blog posts, and sample code for internal and external use. Work with early adopter customers. Provide customer and market feedback to product and engineering teams to help define product direction. Develop and deliver advanced enablement internally and externally. Work as part of an organization to contribute technical assets, prioritize and shape solution direction, while impacting business and bookings. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in C or C++, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience in Python or Go and scripting languages (e.g., Shell). Experience in enterprise server or storage systems, including Basic Input/Output System (BIOS), Board Management Controller (BMC), Trusted Computing Group (TCG), Solid-State Drive (SSD), and Serial Advanced Technology Attachment/Serial Attached Small Computer System Interface (SATA/SAS). Experience in computing, reliability engineering, software-defined systems, hardware acceleration, and disaggregated computing. Experience in large-scale and fleet management of servers and components. Experience with developer operations, release management, integration testing, open source development or Open Compute Projects (OCP). About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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 Design and implement the system software for storage systems to support the performance, reliability, security, and capacity. Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance for storage components and systems. Develop and implement solutions for collecting and analyzing metrics for storage products in the cloud infrastructure for insights. Collaborate with internal and external partners to plan and execute the engineering programs, including product development, and productivity improvements. Contribute in ideas with the team. 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.

Minimum qualifications: Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience in software development using one or more programming languages. 2 years of experience with ML infrastructure, including model deployment, evaluation, data processing, and debugging. 1 year of experience in ML performance, large-scale systems data analysis, ML debugging, Large Language Models (LLMs), or a related area within ML. Preferred qualifications: Master’s degree or PhD in Computer Science or a related technical field. Experience with data structures and algorithm. Ability to develop advanced (e.g., Level 400) AI/ML infrastructure training materials and demos. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Partner with customers to measure Artificial Intelligence/Machine Learning (AI/ML) model performance on Google Cloud infrastructure. Identify and resolve technical bottlenecks to drive customer success. Collaborate with internal infrastructure teams to enhance support for demanding AI workloads. Develop and deliver quality training materials and demos for customers and internal teams. Contribute to product improvement by identifying bugs and recommending enhancements. Write and test production-quality code for system development and deployment. Conduct performance profiling, debugging, and troubleshooting of training and inference workloads. Conduct design and code reviews to ensure adherence to best practices across technologies. Triage, debug, and resolve system issues by analyzing root causes and operational impact. Design and implement specialized ML solutions, leveraging advanced ML infrastructure. 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.

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 Responsibilities Pipeline 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).

1. 拜訪既有經銷商，維繫穩定客戶關係。2. 開發潛在客戶，拓展新市場。3. 負責國內外業務接洽及訂單處理。4. 負責產品報價及產品展示，並處理帳款回收相關事宜。5. 負責業務推展，傳達及說明公司各項業務重大訊息、活動及產品。

在《車麻吉》Ruby On Rails 工程師的職位上，你將協助團隊在目前的主要服務上進行設計、單元測試、開發與維護，能夠協助後端成員一起進步，並且提供團隊關於後端的各種專業建議。 這個職位我們期望招募用 Ruby On Rails 開發後端，具備一定經驗的人，但若具備現代 MVC 框架的扎實經驗，相信也不會是太困難的轉換。 熟悉任一現代 MVC 框架。我們使用 Ruby on Rails。熟悉 RESTful 風格 API 設計。熟悉關連式資料庫與 Schema 設計，與 ORM 操作。我們主要使用 PostgreSQL，也有 MySQL。熟悉利用 Memory Cache 加速讀取效能，我們使用 redis。熟悉版本控管工具，我們使用 Git。專案存放與 Issue Tracking 也都使用 GitHub。熟悉撰寫單元測試。熟悉基本 Unix like 系統指令操作。熟悉 HTTP 相關網路知識。熟悉物件導向語言設計模式熟悉雲端架構經驗，我們主要使用 GCP，也有 AWS。

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端資訊安全(Imperva)、雲端應用等雲端服務(1). 雲端網路架構規劃，協助客戶導入雲端服務。 (2). 執行客戶POC測試與服務上線。(3). 回應客戶技術的問題，提供產品技術諮詢。(4). 處理客戶障礙問題判斷與異常排除。(5). 網路環境管理及監控，專案管理與文件報告製作。