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Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting. Experience with Large Language Models (LLMs), open source, big data, machine learning, and numerical programming frameworks. Experience with AI products, technologies, and infrastructure. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), etc). Experience in architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Knowledge of AI Models, Large Language Models, and AI specialized infrastructure related to AI trends and issues within businesses. Knowledge of responsible AI practice. Ability to work with new technologies, methodologies, and solutions in the Cloud/IT technology environment. 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. 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 Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers. Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s generative language Application Programming Interfaces (APIs) to help them build their own AI products in the future. Travel to customer sites, conferences, and other related events as needed. 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. 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, Electrical Engineering, related technical field, or equivalent practical experience. Experience in enterprise server or storage systems, including server software, SSD, and NVMe. Experience in high-performance computing, reliability engineering, software-defined systems, hardware acceleration, and disaggregated computing. Experience in large-scale and secure 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.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 technical and product roadmaps, influence executive decisions; define and implement the best known practices for multiple teams. Lead the programs of system software development for next-generation server and storage systems to adopt the latest technologies of performance, reliability, security, and cost-effectiveness. Lead the programs of system software development for large-scale system verification, automate diagnostics, system configuration management, and operation metrics collection. Mentor the team by modeling high standards, providing guiding feedback, and implement 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.

【職務內容】 維護現有系統與功能、新專案開發、跨部門團隊需求 標配MAC電腦 (本職務辦公室位於桃園，遠端工作需求面議) 【上班時間】 早上 9 點至下午 6 點並且有 30 分鐘彈性上下班 【公司福利】 勞健保、三節、尾牙、生日禮金。 我們公司設有咖啡休息區，免費零食、飲料、餐點，飲品，備有微波爐。 不定時員工聚餐與每年都有員工旅遊。

We are looking for a Software Engineering Team Lead to join our technology team and help shape the systems that support our fast-growing e-commerce business. This role is ideal for someone with at least 5 years of software development experience and a strong interest in team leadership, scalable systems, and cloud technologies. Responsibilities: 1. Design and develop internal systems that support business operations and meet employee needs 2. Work closely with business and operations teams to understand requirements, define clear specifications, and ensure smooth project delivery 3. Lead and support a team of engineers, sharing knowledge and promoting best practices in software development 4. Build scalable and reliable solutions using cloud services such as AWS or Google Cloud 5. Monitor system performance, troubleshoot issues, and make improvements as needed 6. Follow development guidelines, ensure testing coverage, and maintain code quality 7. Oversee ongoing system maintenance and optimization to support daily operations Requirements: 1. 5+ years hands-on experience in software development 2. Proficiency in at least one object-oriented programming language such as Java, Python, C++, or C# 3. Experience with cloud platforms like AWS, Google Cloud, or similar 4. Strong communication skills and the ability to collaborate across teams 5. Proven ability to lead or mentor engineers in a team environment 6. Comfortable working in a fast-paced e-commerce setting and open to learning new tools and technologies Technologies we used but are not limited to: 1. Frontend: HTML, JavaScript 2. Backend: Ruby on Rails, Python 3. Database: MySQL 4. Cloud Computing Services: AWS, GCP

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。

1. 協助雲端架構規劃及部署 2. 協助提供雲端解決方案與支援服務導入 3. 有雲端產品學習意願與能力, 並能勝任 presales 角色

Our client is a fast-growing technology company operating production workloads across AWS and GCP, with Cloudflare at the edge. The engineering team is responsible for cloud infrastructure, Kubernetes operations, application deployment architecture, cross-cloud networking, security, and observability. The company is looking for a Platform Engineer to focus on compute platforms and application deployment architecture. This role will work closely with infrastructure, backend, data, database, and observability teams to improve platform reliability, deployment efficiency, and operational scalability. About the Role As a Platform Engineer, you will be responsible for operating and improving the company’s cloud-native platform across AWS and GCP. The role covers Kubernetes operations, deployment architecture, infrastructure as code, GitOps workflow, cross-cloud networking, edge services, and production reliability. This is a hands-on individual contributor role. The company does not have a strict years-of-experience requirement, but the ideal candidate should have real production experience with Kubernetes and cloud infrastructure, including production traffic, incident handling, and cluster upgrades.

▎ What You'll Do1. 掌握現有架構，協助架構優化與技術選型。( e.g. 效能瓶頸、系統擴展、資料存儲, etc. )2. 參與開發，為產品推出更多全新功能。( e.g. 智能回覆、匿名聊天, etc. )3. 帶領團隊成員分析線上產品數據。( e.g. network traffic, bandwidth, memory, and storage estimates )4. 持續學習新技術、主動分享並嘗試將適合的技術導入。【 In the first month 】◾️ 了解團隊目標、目前產品和未來規劃◾️ 搭建自己的工作環境，掌握當前

【Responsibility】負責設計並部署具高可用性、擴展性與安全性的 GCP 雲端架構，確保能滿足業務成長與技術演進需求。檢視並分析現行系統結構，提供效能強化與上雲轉換的建議與實施計畫。熟悉並管理 GCP 運算與網路核心服務，例如 Compute Engine、App Engine、Cloud Functions、VPC、Cloud Interconnect、Cloud Armor 等，確保基礎環境穩定運作。擅長建置雲端資料解決方案，包含 Cloud SQL、Cloud Spanner、Firestore、BigQuery 等 GCP 資料相關服務的規劃與效能優化。導入 Infrastructure as Code（IaC）流程，運用 Terraform、Deployment Manager 等工具進行資源自動化部署與版本控管。建立完善的監控與告警架構，使用 Cloud Monitoring、Cloud Logging 等服務確保系統效能穩定與資安合規，並能獨立進行故障診斷與效能調校。協助規劃並落實 AI/ML 解決方案，包含應用 Vertex AI、Vision AI、Gemini API 等工具整合智慧功能至產品或流程中。熟練操作 AutoML、BigQuery ML 等工具，進行模型訓練、部署與監控管理，強化機器學習生命周期管理能力。作為技術顧問角色，支援客戶解決複雜問題，並協調內外部團隊資源，促進專案順利推進。持續追蹤 GCP 生態系最新技術與服務更新，並將實務經驗轉化為可複製的最佳實踐應用至團隊中。

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 6 years of experience as a technical sales engineer in a cloud computing environment or equivalent experience in a customer-facing role. Experience architecting/developing software for distributed systems. Preferred qualifications: Master's degree in Computer Science or other technical fields. Experience with developing scalable architectures using microservice frameworks, PaaS, and container orchestration systems (i.e. Kubernetes, OpenShift), or other applicable platforms. Experience with cloud-native software development methodologies and tools to support application development/deployment stages including CI/CD (i.e. Jenkins, Spinnaker, Concourse). Experience in advanced areas of networking, including Linux, software-defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks and their application to PaaS and IaaS technologies. Expertise in serverless architectures and managed services (e.g., Google Cloud Run, Cloud Functions). 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. As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to the customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve business challenges. You will drive the technical win and define the delivery and consumption plans. You will use your business acumen and presentation skills to engage with technical and business leaders, present solutions on Google Cloud.You will identify, pursue, and win new business workloads and drive engagement within existing ones. You will have technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend business expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud 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 Make recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution, providing “best practice” advice to customers to optimize Google Cloud Platform effectiveness. Guide customers through assessments of their existing legacy application environment(s), provide recommendations on a prioritization roadmap for application modernization, and identify candidate applications for migration to hybrid-cloud computing models. Define integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution. Provide "best practice" advice to optimize Google Cloud Platform effectiveness, balancing performance, reliability, and cost constraints. Partner with cross-functional sales and product teams to identify, qualify, and size new business opportunities. Influence sales strategy development and deploy solutions that protect and expand existing account portfolios. 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.