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About BID Operations BID Operations, founded in Sydney, Australia, and expanded globally, is a fast-growing financial technology company. Our mission is to connect global financial resources with real-world demands through cutting-edge technology, and to build a fair, transparent, and trustworthy fintech platform tailored for financial professionals and institutions. BID Operations 總部成立於澳洲雪梨，透過先進科技整合全球金融資源與其需求，打造一個公平、透明且值得信賴的金融科技平台，並為跨國客戶提供即時與高效支援。 Why join BID Operations 我們是一個年輕且重視意見回饋的團隊，扁平化管理為優化流程與制度帶來能量。加入 BID Operations，您將能在這個變動快速且持續迭代的產業不斷更新專業知識，並增強溝通能力。 您將負責 負責公司電腦硬體、作業系統、應用軟體、網路設備、印表機、掃描器及其他辦公室 IT 設備之安裝、設定、維護與故障排除。監控並維護公司電腦系統、網路環境及相關 IT 基礎設施，確保系統穩定運作，並能即時回應及處理使用者提出的 IT 支援需求。提供公司內部使用者第一線及必要的第二線技術支援，協助解決硬體、軟體、網路、帳號權限、登入異常、電子郵件、VPN、辦公室系統及周邊設備等問題。負責新進員工 IT 設備準備、帳號建立、權限設定、系統登入支援、密碼重設及相關 onboarding IT support，確保新進員工能順利使用公司系統及設備。協助員工離職、轉調或職務異動時之 IT 權限調整、帳號停用、設備回收、資料保存及相關資訊安全控管。測試、評估及導入新的 IT 工具、系統或技術方案，並針對現有 IT 支援流程提出改善建議，以提升使用者體驗及內部營運效率。確保公司網路、電腦系統及使用者設備符合資訊安全及資料隱私要求，包括防毒軟體、系統更新、存取權限、資料備份及基本資安設定之維護。建立、維護及更新 IT 作業文件、SOP、使用者操作指引、故障排除紀錄、設備盤點紀錄及相關支援報告。妥善記錄 IT 維修、故障處理、設備更換、系統設定及使用者支援案件，以便後續追蹤、稽核及知識管理。提供即時且專業的技術支援，並協助使用者正確、安全及有效地使用公司電腦、系統及 IT 資源。定期檢查公司電腦設備及相關電器設備之基本安全狀況，確保設備使用符合公司政策、辦公室安全要求及相關產業標準。與區域或總部 IT 團隊、資訊安全團隊、行政及 HR 團隊合作，支援辦公室 IT 營運、設備採購、資產管理、系統權限控管及日常 IT 專案。協助處理會議室設備、視訊會議系統、網路連線、電話系統及其他辦公室 IT 設備，確保日常會議及業務運作順暢。支援公司 IT 資產管理，包括設備登記、庫存追蹤、維修狀態、報廢紀錄及設備生命週期管理。 您將獲得 外商工作氛圍輕鬆與好相處同事能與國外同仁交流、增加視野的工作環境雙節（各0.5個月）與年終獎金優於勞基法的特休 (一年15天、三年20天）與工時（7.5小時）外商管理風格每年額外彈性福利金(FSA) 20,000元與個人培訓補助6,000元 每人配置升降辦公桌

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, Mathematics, or related field, or equivalent practical experience. 3 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 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 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 provide 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, MCP servers) that drive return on investment. Architect and code the connections between Google’s AI products and customers' live infrastructure, including 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.

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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Zhubei, Zhubei City, Hsinchu County, Taiwan; Taipei, Taiwan.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python) and scripting in Shell, Python. 3 years of experience in software focused program/project management and in the business technology market and working with engineering, sales and marketing teams in networking. Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: 5 years of experience in software focused program/project management and in the business technology market and working with engineering, sales and marketing teams in networking. Experience working with embedded devices, Consumer Electronics (CE) manufacturers, SoC providers, or pay TV operators. Experience in the TV/CE/embedded space, and familiar with video streaming technologies. Experience driving cross-functional initiatives in a structured as well as ambiguous environment while keeping attention to detail. Familiarity with Android TV or similar TV platform architecture. Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners. About the job The Device Operations and Partner Engineering team for YouTube's goal is to ensure the best possible user experience for YouTube products on any connected devices. This is accomplished by driving operational excellence, for the entire device partner experience. As Partner Engineers, we deliver technical solutions and tools to empower internal teams and our partner teams worldwide.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead implementation reviews, advocate new product features, and ensure the prompt resolution of technical issues. Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration, both new and ongoing, by providing necessary documentation and technical guidance. Identify, drive, and optimize the business flow from existing and new business opportunities by leveraging YouTube technologies. Work closely with our SoC partners in the region to accelerate and improve YouTube integrations on new chip sets. 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.

【What you’ll be doing】團隊領導與維運體系優化：負責管理與帶領技術維運小組，優化工作流程與制度，並定義、追蹤團隊關鍵績效指標。即時應對與初檢線上問題：對線上異常進行初步診斷與檢傷分類，迅速評估影響範圍，結合歷史經驗、產品邏輯與用戶路徑，提供具操作性的修復建議與解決方案。確保系統穩定運行：主動監控產品全鏈路的運作情況，涵蓋交易、訂單、金流、通知等關鍵模組，確保高峰期（如雙 11、黑五）流量湧入時平台依然穩定，成為商家與 SHOPLINE 值得信賴的後盾。主導重大事故處理：擔任事故處理的第一線協調者，快速召集 RD、QA、MS 等相關團隊，有效控制影響範圍，確保問題處置流程落實並維持高標準的 SLA。追蹤問題復盤與改進：推動線上事故的事後檢討（Postmortem），確保跨部門團隊執行根因分析（Root Cause Analysis），追蹤與落實改善進度，降低問題重演的機率。資料導向的改善推手：善用歷史數據、Log 紀錄與埋點分析等工具追蹤問題線索，協助產品與工程團隊精準定位系統問題與瓶頸，持續提升平台的可用性與韌性。

解決方案導入與落地： 負責身分認證產品的安裝、設定、整合測試及正式上線，確保系統在客戶端穩定運行。架構設計與評估： 參與客戶端的部署架構規劃，針對 Hybrid Cloud、地端虛擬化或內網隔離 (Air-gapped) 環境提供專業建議。技術文件撰寫： 編製部署手冊、系統架構圖、管理者與使用者手冊，以及針對特定環境的常見問題集 (FAQ)。自動化與優化： 開發並維護自動化部署腳本 (IaC)，優化部署流程以提升效率並減少人為錯誤。顧問諮詢服務： 協助客戶進行 API 串接指導、身分認證協定 (OIDC/SAML) 的對接諮詢，並回饋產品優化建議給研發團隊。維運支援與培訓： 負責上線初期的維運監控，並對客戶的 IT 團隊進行技術轉移與產品培訓。

Note: This is a mirrored copy of the posting from AMD's Career Page. For the official and most up-to-date listing, please refer to AMD's Career Page.---WHAT YOU DO AT AMD CHANGES EVERYTHINGAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLEAs a Debug Engineer in the ODM Enablement, Data Center Platform Engineering (DPEG), you will be responsible to work with ODM/OEM/Customer for issue isolation, debug and validation for the AMD Data Center related products in this expanding and strategic market for AMD. To accomplish this, you will need to interact with other key engineering teams such as silicon design, boarding engineering, validation, and manufacturing within AMD. This engineer will work with customer/ODM team during critical issue, reproduce issue internally and able to isolate related problem and able to help get issues resolved in time to meet product development or sustaining milestones. THE PERSON:A highly motivated self-starter, good interaction with partners/customers. Person has to have experience in Issue isolation, debug, knowledge is server design, validation and bringing up complex CPU/GPUs in a server system/Rack level. Have leadership skills in driving complex issues/problems and provide insight into not only designs but debug of complex system level problems.Role Responsibilities: - Include experience in debugging Server/Data Center systems with an emphasis on platform-level debugging. - Knowledge and use of standard debuggers, programmers, and emulators. - A thorough understanding of Datacenter industry standard buses, such as HBM, DDR, PCIe, and other high-speed IO protocols is required, in addition to detailed knowledge of high-speed digital design and signal integrity. - Further requirements include a strong understanding of BIOS, OS, and driver interactions at the system level, as well as a proficient understanding of x86 CPU architecture and functionality. - Providing root cause analysis and guidance to internal and customer design teams to help resolve issues. - Independently support projects and effectively collaborate with internal and external teams to handle all issues. - Develop Debug Tools for Customer Debug proliferation and at scale. - A self-starter is required, capable of dealing with a high level of ambiguity.Requirements: - An engineering degree in Electrical Engineering, Computer Engineering, or Computer Science with good years of extensive experience. - The ideal candidate has worked at a computer hardware company as a design or debug engineer. - Worked on multiple projects from development, through bring-up and validation, and supported through the release to production. - Strong knowledge of X86 architectures, PCIe, memory interface, and performance tuning is desired. - Experience in the use of tools such as JTAG debuggers, logic analyzers, and PCIe bus analyzers. - Excellent communication skills are required in the role of supporting customers. - Ability to distill complex technical issues into clear, concise, and easily understandable statements for diverse audiences, including non-technical stakeholders and senior management.#LI-IH1 Benefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.

- 具備IT資訊管理相關知識或背景。- 可提供滿足使用者需求的第一線資訊協助服務。- 經由服務系統、電話、電子件等方式了解使用者對資訊作業的需求。- 經理遠端或到點有率的解決問題。- 提供穩定的資訊作業。 a. 根據手冊監控系統運作，回報與記錄系統狀態- 反映I作業問題與改善建議。 a. 針對使用者的反饋與条統處理經驗，提供建議 b. 針對工作內容製作文件手冊，發展標準工作流程，並分享經驗- 執行主管交辦事項。

主責行動裝置應用系統穩定運行，並提供使用者技術支援。• 透過電子郵件和線上通訊軟體迅速回應並解決使用者日常作業的問題，調閱使用者操作歷程，進行問題根本原因分析，並提出解決方案包括操作說明、程式Bugs、參數錯誤、人為錯誤及資料錯誤等造成應用運作的問題。• 追蹤每日問題處理進度並更新任務管理系統• 協助進行系統更新、升級和修復，與開發團隊緊密合作以確保每次部署順利進行。• 與其他相關部門配合，確保Centric 與其他內部系統的順暢整合。• 提供輪班技術支援，確保任何時刻問題都能得到即時處理。• 編寫及維護技術文件、操作手冊，持續改善支援流程。

1.資訊問題管理。2.資訊設備維運管理。3.廠商溝通協調。4.新型資訊設備評估驗證。薪資會依實際工作經歷核薪5.各項專案行程規劃。