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【知名日商IT服務公司】■ 職務概要負責案件接單後的設計、建置、導入與運維支援，確保客戶環境穩定運作。■ 主要工作內容•撰寫詳細設計文件•設定與建置網路設備、伺服器、資安與雲端環境•專案管理•客戶操作說明與文件撰寫•疑難排解與運維支援

為機構客戶、開發者提供全生命周期支持，包括接入調試、問題診斷、交易異常處理及風控規則解讀。 建立客戶響應機制，主導重大技術故障的客戶溝通與解決方案落地，維護客戶信任。 收集機構客戶API使用過程中遇到的問題，協同運營、產品、開發團隊進行，包括接口穩定性監控、性能調優、故障排查及版本叠代管理，確保API服務高可用性。

職位簡介技術支援工程師需與客服中心專員及現場技術人員密切合作，提供技術支援、故障排除及系統維護，確保問題迅速解決並提升客戶滿意度。此職位主要負責提供第二級技術支援，要求具備良好的溝通能力、積極主動的問題處理態度，以及對及時解決問題的承諾。 主要職責 為Linux物聯網設備及後端服務提供第二級技術支援。排查並解決系統效能、連線能力及資料完整性相關問題。進行根本原因分析，識別並處理重複發生的技術問題。與跨職能團隊協作，上報並解決複雜技術問題。將故障排除步驟、解決方案及最佳實踐記錄至知識庫。協助測試與驗證軟體更新及新功能。 優先考慮的個人特質 責任感團隊合作精神正直誠信

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration. Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search. Experience with search systems including retrieval, ranking, and search quality tuning. Experience with presenting to technical stakeholders and executive leaders. Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers. Preferred qualifications: Experience developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK). Experience with iPaaS, API Gateways, or Enterprise Service Buses (ESBs) in a cloud environment. Understanding of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and API Gateways. Knowledge of Application Integration Governance and Security, including OAuth2 flows and short-lived credential management. Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications. Experience with functional evaluation metrics used to assess Model Quality and Agent Quality. 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. In this role, you will partner with technical business teams to differentiate Google Cloud to the customers. You will serve as the technical authority on integrating Generative Artificial Intelligence (AI) into enterprise environments, moving beyond simple chat interfaces to architecting secure and data-connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend market knowledge and hands-on technical engagement to prove the value of the Google Cloud AI portfolio.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 Drive the technical win for workloads within Gemini Enterprise to ensure adoption, support the business cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. Combine business strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide technical consultation to customers on enterprise AI integration patterns, act as a technical advisor and build customer relationships. Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within Product and Engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues. Travel to customer sites, conferences, and other related events as required, and act as a public advocate for 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.

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端WAF/CDN、國際品牌憑證、網域等雲端服務 (1). 雲端服務應用，包含基礎服務操作、專案帳號管理與帳單帳號建立。 (2). 網域(Gandi)申請與憑證(Sectigo)建立作業。 (3). WAF/CDN基礎服務應用與網路狀況排查分析。 (4). G workspace / M365 障礙排除與教育訓練。(5). 其他主管交辦事項。

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in a technical field or equivalent practical experience. 6 years of experience in a technical pre-sales role with Cloud or Software-as-a-Service (SaaS) providers. Experience in unified communications and collaboration and enterprise productivity solutions, and with identity solutions such as Google Endpoint Management (GEM) software. Experience with scripting for automation, code development and low code/no code solutions. Experience with System Integrators/Service Providers (SIs/CSPs) and Independent Software Vendors (ISVs). Ability to communicate in English and Mandarin fluently to engage with local clients. Preferred qualifications: Experience working in a similar position (e.g., Technical Sales Engineer, Partner Engineer, etc.) in a cloud computing environment or equivalent experience in a customer or partner-facing role, including working as a member of a Professional Services, Solutions Architect or Systems Engineering team. Experience in practice building. Understanding of productivity technologies and how they can integrate with AI, IOT, A/V systems to deliver next-generation user experience. Ability to articulate and present Gen AI, Google AI full stack value to executive audiences CxOs, Line of Business and technology stakeholders, of partners and customers’ organizations. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. In this role, you will empower customers to achieve significant business outcomes and productivity by leveraging Gemini to automate routine tasks and business workflows.You will be driving Agentic Workplace Transformation by helping customers move beyond simple task acceleration to automating complex, multi-step workflows across their entire organization. You will demonstrate how the unified platform of Google Workspace and Gemini Enterprise breaks down context silos, allowing humans and AI agents to collaborate with shared enterprise-wide context grounded in the organization's data. You will advise customers on deploying and governing a team of AI agents, built by Google, partners, or the customers themselves, to ensure high-value automation at an organizational scale while maintaining enterprise-grade security and compliance.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 Drive customer technical engagements to address customer requirements and secure technical wins. Educate customers on the power of Google Workspace and Gemini Enterprise, enabling them to drive technical innovation. Help customers to develop AI practice with technology goals for creating and building solutions to elevate customer productivity. Work with customers, understanding their requirements and pain points. Develop solutions and develop proof-of-concepts (POCs). Advise on integration strategies, enterprise architectures, platforms and application infrastructure to implement a complete solution, providing best practice advice to customers. Act as a technical advocate within Google for Google Workspace technology partners and provide feedback from the field to Google Engineering teams on Google Workspace technologies. 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 Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in system design or reading code (e.g., Java, C++, Python). Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science or equivalent practical experience. Experience in the online advertising industry. Experience with SQL, Linux, and cloud or distributed computing platforms like BigQuery, Hadoop, App Engine, etc. Ability to collaborate with people and multiple job functions. Ability to work separately, and manage multiple projects and solve problems. Excellent communication skills, with the ability to present technical materials to groups. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.In this role, you will lead in-market product commercialization, market analysis, customer product needs assessments, and day-to-day technical escalations in order to maintain the success of the customers. You will have the ability to absorb technical concepts and communicate them to technical and non-technical audiences, and interact with product management teams. You will be working with cross-functional teams to improve the products and operations. You will be familiar with online advertising and will have experience working within the industry.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Provide technical consulting services and guidance around Google Application Programming Interfaces (APIs) and tech platforms to help clients develop applications across ads products. Work with customers to understand underlying business tests. Manage relationships with business teams and customers, and leverage these relationships to identify and develop technical solutions that lead to more advertising business. Work across business, support and product teams to provide solutions to tests. Propose, design, create and present prototypes, demos and proofs-of-concept to audiences including engineers to marketing professionals. Leverage Google’s tech platforms and big data analytics systems to achieve the goals. 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Taipei, Taiwan; Hong Kong.Minimum qualifications: Bachelor’s degree in a Science, Technology, Engineering, and Mathematics or a related field, or equivalent practical experience. 6 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms. Experience in developing Generative AI (GenAI) solutions with foundation models, first-party model tuning, and advanced Retrieval-augmented generation (RAG) architectures. Preferred qualifications: Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related technical field. Experience in implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. Ability to build full-stack applications that interact with enterprise IT infrastructures, and perform interviews to find the business problem and translate hardware/AI constraints for technical teams. 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. In this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will manage blocker to production including solving the integration complexities, data readiness issues, and state-management tests that prevent AI from reaching enterprise-grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming field insights into Google Cloud’s future product roadmap.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 Serve as the lead developer for AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Master Control Program (MCP) servers) that drive Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters. Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. 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.

【公司介紹】我們的客戶是一家專注於 AI automation 與組織賦能的創新團隊，致力於協助企業將生成式 AI 與自動化技術真正落地到日常工作流程中。團隊結合 AI 應用實務、顧問方法論與教育培訓，協助不同產業的企業從策略規劃到實際導入，建立 AI 驅動的工作模式。 在 AI 技術快速演進的時代，越來越多企業希望導入 AI 工具來提升效率與創造新的商業價值，但真正能夠 從流程理解、工具應用到落地推動 的人才仍然非常稀缺。加入這個團隊，你將與企業決策者與跨部門團隊合作，運用 AI 與自動化技術重構工作流程，讓 AI 不只是概念，而是實際創造影響力的工具。 如果你熱衷於探索 AI 工具、喜歡將新技術轉化為實際工作應用，同時也樂於與人分享與教學，這將會是一個能夠快速累積 AI 導入經驗與產業影響力的角色。 【工作內容】• 協助企業客戶理解 AI automation 的應用情境，並規劃適合的導入策略• 進行 AI 工具與自動化流程的教育訓練，幫助不同職能團隊建立 AI 工作方法• 協助企業進行流程分析與優化，設計 AI automation 解決方案• 參與企業導入陪跑計畫，協助團隊建立內部 AI 能力與最佳實踐• 持續研究 AI 與自動化技術趨勢，並透過分享或活動促進技術交流 【使用技術 / 工具】• 生成式 AI 工具：ChatGPT、Gemini、Copilot 等• AI 協作與知識工具：NotebookLM、AI knowledge tools• 自動化工具：Make、Zapier、n8n、Apps Script 等• API 串接與流程自動化工具

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience in a customer-facing role in management consulting, enterprise technology sales, or professional services. Experience leading business or cloud technology transformation programs for enterprise organizations. Experience building and maintaining relationships with C-suite or VP-level executives. Preferred qualifications: Master's degree in a Management, Technical, or Engineering field. Experience orchestrating large, multi-workstream programs involving customers, partners, and internal teams in a matrixed organization. Experience building business cases and articulating the ROI of technology investments to executive stakeholders. Knowledge of the Google Cloud ecosystem. Familiarity with the enterprise AI/ML landscape and concepts of agentic transformation. About the jobThe Google Cloud Consulting (GCC) team is evolving to meet the demands of enterprise AI transformation. As a Consulting Account Lead (CAL), you will be the single point of accountability for shaping, orchestrating, and delivering our most strategic customers' transformation journeys. You will act as the senior trusted advisor to C-suite executives, defining the "how" behind their most ambitious goals and ensuring they realize tangible business value from their investment in Google Cloud and Google AI.In this senior leadership role, you will own the customer's change journey, from architecting the services strategy early in the business cycle to establishing governance and acting as the unifying thread across complex delivery programs involving the customer, partners, and internal Google teams. You are the definitive post-sales transformation and Customer Experience (CEx) leader on the account.In this role, you will be expected to be on the customer site approximately 50% of the time.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 Be the lead customer experience and transformation advisor for C-suite and VP+ stakeholders, developing and delivering points on how to drive measurable business value, competitive differentiation, and ROI. Own the end-to-end services strategy by creating strategic roadmaps, proposals, and delivery plans directly linked to business objectives and constraints. Manage cloud delivery programs with key customers, ensuring execution and quality across the customer, partners and GCC, while mitigating transformation risks. Establish and lead the program operating model and governance structure to ensure accountability and alignment. Orchestrate resources across the CEx organization and advocate for the customer with cross-functional teams. Be a change agent focused on navigating organizational complexities to ensure the successful adoption of the platform, including owning the plan to activate and drive usage of Google Cloud and AI Solutions, communicating progress toward realized value. 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.