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Cake 找工作

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Logo of 達暉資訊.
【提升價值 × 創造可能 × 一起成長】歡迎來到這裡,看到這段話的你,我們相信你不是在隨便找工作,而是在找一個「值得待下去的地方」或許這裡就是你下一段旅程的開始!我們是達暉,一群熱愛技術也在意生活的夥伴這裡沒有所謂「完美履歷」的標準答案有的是一個個願意嘗試、學習、合作的工程師,一起把事情做得更好我們喜歡技術,也喜歡分享過去辦過線上分享、讀書會、生活體驗課程,還會一起登山、玩桌遊、吃飯聊未來你的成長不是被要求,而是被支持與期待我們不只寫程式,也關心彼此的生活歡迎你加入,讓我們一起邁向專業與樂趣兼具的未來
gcp
azure
aws
4万 ~ 7.5万 TWD / 月
需具备 3 年以上工作经验
不需负担管理责任
Logo of 達暉資訊.
【提升價值 × 創造可能 × 一起成長】歡迎來到這裡,看到這段話的你,我們相信你不是在隨便找工作,而是在找一個「值得待下去的地方」或許這裡就是你下一段旅程的開始!我們是達暉,一群熱愛技術也在意生活的夥伴這裡沒有所謂「完美履歷」的標準答案有的是一個個願意嘗試、學習、合作的工程師,一起把事情做得更好我們喜歡技術,也喜歡分享過去辦過線上分享、讀書會、生活體驗課程,還會一起登山、玩桌遊、吃飯聊未來你的成長不是被要求,而是被支持與期待我們不只寫程式,也關心彼此的生活歡迎你加入,讓我們一起邁向專業與樂趣兼具的未來
python
gcp
azure
5.5万 ~ 7.5万 TWD / 月
需具备 5 年以上工作经验
不需负担管理责任
Logo of TSMC 台積電.
Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Role: We are seeking outstanding engineers to join TSMC IT infrastructure team to build and orchestrate cloud services to support world-class semiconductor foundry. This team is responsible to design, implement and optimize IT infrastructure toward software-defined computing, storage and networking with cloud technologies. The successful candidate should have strong technical skills and dedication for operation excellence. Responsibilities: 1. Assist the cloud architect to refactoring or migrate the legacy systems as cloud native services. 2. Participate in architecture planning and build cloud environment with cloud architects, project technical support, enterprise solutions based on Azure, AWS or GCP 3. Effective use of professional domain knowledge to assist in maintenance and troubleshooting 4. Cloud services technical support
4万+ TWD / 月
不限年资
不需负担管理责任
Logo of ASML Taiwan 台灣艾司摩爾.
Introduction to the jobThe Cloud Engineer will be responsible to design, implement, and maintain scalable , secure, and cost-effective cloud infrastructure for Core IT APAC. The role ensures high availability, performance, and reliability of cloud-based systems while collaboration with cross-functional teams to automate deployments, monitor environments, and continuously improve cloud operations in alignment with business objectives.Role and responsibilitiesDesign and deploy cloud architecture for infrastructure, platforms, and applications using Azure, GCP environment and align with Cloud Center of Excellence (CCoE)Follow the guidelines established by the Cloud Center of Excellence (CCoE) and Implement best practice for security, high availability, and compliance across cloud environmentMonitor cloud environment for performance, availability, and securityCollaborate with DevOps, security and operation teams to integrate cloud solutions into development lifecycleIdentify opportunities for cost optimization and performance improvements.Document cloud architectures, workflows, and security measures for reference and complianceStat up to date with emerging cloud technologies and recommend innovates solutionsEducationBachelor’s degree in Information Technology, Computer Science or a related fieldSkillsWork Experience:Minimum 3+ years of hands-on experience in cloud architecture or cloud engineer roles5+ years of professional experience and demonstrated proficiency in IT infrastructure managementCertificationsMicrosoft Certified: Azure Solutions Architect ExpertGoogle Cloud Professional Cloud ArchitectTechnical SkillsProven experience with in cloud platform: Azure, GCP or AWSStrong knowledge of networking, security, and cloud architecture best practicesProficiency with Infrastructure as Code(IAC) tolls (e.g., Terraform, Ansible)Experience with containerization and orchestration tools like Docker, KubernetesKnowledge of network architecture, identify and access management (IAM), cloud security practices, and CI/CD pipelinesOther informationThis is a permanent position in the IT Asia regional organization. The Cloud Engineer is reporting to the Infrastructure Manager of Core IT Asia and will work closely with business functions within Asia and the Cloud Center of Excellence (CCoE) in NetherlandsInclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.
面议
需具备 4 年以上工作经验
Logo of MoMo.
We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.
Logo of Bosch Vietnam.
Company Description Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering RD center (Robert Bosch Engineering and Business Solutions Vietnam Co., Ltd). In July 2014, Bosch set up a new Automotive RD Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and RD hub in the Southeast Asian region. Currently four products are available: connectors, pushbelt, fuel supply, and diagnosis module (tank leakage). For further information, please visit our website: www.bosch.com.vn Job Description Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystemDeveloping scalable and re-usable frameworks for ingesting of data setsIntegrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all timesWorking with event based / streaming / scheduling technologies to ingest and process dataWrite python script to process data according to the needs from other engineersBuild dashboard using PowerBI or Tableau to fulfill the need from end usersEvaluating the performance and applicability of multiple tools for the automated data pipelineInvolve in application development using low-code platforms such as PowerApps and Outsystems.Involve in AI solution development in the organization focus on building python script for data processing
不限年资
不需负担管理责任
Logo of MoMo.
Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development
Logo of 新芽網路股份有限公司.
❗️投遞履歷請一律至專屬的職缺網頁:https://25sprout.teamdoor.io/s/ML8ElGFS 目前此職缺為常態徵才,直接透過 Cake平台投遞將不會回覆唷 我們正在尋找一位 Mid-level SRE(Site Reliability Engineer),成為團隊的可靠後盾。你的任務是確保系統穩定運行、雲端環境高效管理、流程持續自動化,讓用戶體驗更順暢、工程師開發更專注。如果你熱愛新技術,喜歡動手解決問題,也樂於與不同角色協作,歡迎加入我們一起:) ▍你的工作將包括: Linux 作業系統管理與維運(RedHat / Debian / Ubuntu 等)網站/應用環境建置與維護(LAMP / LNMP)CI/CD 流程整合與最佳化(Jenkins / GitLab CI/CD)憑證、金鑰與機密管理(SSL/TLS、Vault 等)雲端平台資源管理(AWS EC2 / S3 / RDS、Azure、GCP 等)建置監控與告警系統,確保服務高可用性(Prometheus / Grafana / ELK)自動化工具與基礎架構即程式碼導入(Terraform / Ansible / CloudFormation)
6万 ~ 7万 TWD / 月
需具备 3 年以上工作经验
不需负担管理责任
Logo of 國泰健康管理顧問股份有限公司.
【About Us】 歡迎加入「國泰健康管理」!我們是一個充滿活力、追求創新、以數據和科技驅動健康管理變革的團隊!在這裡,你將與一群熱愛科技、關心健康、充滿創造力的夥伴並肩作戰,共同探索智能健康的無限可能。 我們相信「想要健康不能靠感覺,而是基於精準數據的科學管理。」 我們的使命是:整合數位、數據和科技技術,打造個人化的健康管理解決方案,讓人人都能擁有健康自信的人生,實踐『健康就在生活裡,解方就在數據裡』。 在這裡,我們不只是做專案,我們讓混亂變有序,讓模糊變清晰,讓每個點子從白板飛進現實! 我們希望你是那個—— ★ 有一雙能從資訊洪流中一眼看穿重點的「洞察之眼」 ★ 能解鎖協作難題、釐清技術語言、精準對話的「跨界翻譯員」 ★ 擁有穩定節奏、能串接資源、推動團隊向前的「節奏大師」 你不只是執行專案,更是健康科技轉型的參與者與設計者。你將有機會: • 參與從策略到落地的完整流程,與一線醫療、保險、科技夥伴共創健康管理新模式 • 累積跨產業整合經驗,從 PM 邁向產品策略或技術領導角色 • 接觸 AI、數據、雲端等前沿應用,建立未來數位健康人才的核心競爭力 如果你懂技術、懂流程、也懂人,還熱衷把團隊從 chaos 帶向 clarity, 這裡,就是你發揮影響力的舞台! 【We Need You to …】 一、專案規劃與流程控管:系統性推動專案節點如期達成 • 根據業務目標協助制定專案時程,規劃測試、驗收與執行流程,確保各階段依里程碑準時推進。 • 善用敏捷管理工具(如 Azure Boards、Notion)追蹤任務進度,針對實際狀況即時調整資源與排程,提升團隊執行效率。 二、技術整合與跨部門協作:強化溝通效率、解決問題瓶頸 • 協助需求分析與技術評估,包含系統串接、程式語言選擇與效益分析,並作為技術與業務之間的協作橋樑。 • 主導專案會議與進度討論,整合跨部門資源、解決溝通誤差與執行障礙,確保團隊共識與目標一致。 三、知識管理與持續改善:建立標準化流程與成效回饋機制 • 撰寫與管理完整的專案文件(需求規格、時程表、架構圖、流程圖等),落實知識留存與專案交接。 • 定期彙整進度報告、風險觀察與優化建議,並於專案結束後執行回顧與成效分析,提出改進策略與未來最佳實踐。 【About You】 ► 3年以上專案管理經驗,或具2年以上技術專案管理經驗 ► 熟悉專案管理方法論,如瀑布式開發、敏捷開發、設計思考 ► 優秀的計劃、組織和執行能力 ► 良好的溝通協調能力和團隊合作精神 ► 具備問題解決能力和抗壓性 【Plus】 ✔ 熟悉雲端架構、AI應用技能 → 你將協助團隊思考如何導入雲端 API、AI 健康推薦模型等技術,打造具個人化與擴展性的健康管理產品。 ✔ 醫療健康產業背景 → 你將能更快速理解業務語言,並用數據與科技將健康專業轉化為具落地性的產品與流程。 ✔ 持有 PMP / Scrum Master 證照 → 我們期待你不只懂理論,更能幫助團隊建立流程規則與節奏感,在每一次衝刺中優化成果。
SEO
KOL
4.5万 ~ 5.2万 TWD / 月
需具备 3 年以上工作经验
不需负担管理责任
Logo of Cake Recruitment Consulting.
公司介紹 這是一家穩健經營超過半世紀的金融龍頭企業,近年積極啟動大規模數位轉型,成立「科技創研中心」,整合數據工程、AI研發與雲端治理三大領域,打造具前瞻性的金融科技基礎。 公司正投入建構企業級 Data Lakehouse 與 LLM 平台,結合生成式AI、資料虛擬化及雲端運算,以數據驅動服務創新與決策升級。 對於希望在大型體系中主導AI工程與金融數據轉型的中高階技術主管而言,這是兼具穩定與影響力的關鍵舞台。 工作內容 領導 Data AI 工程團隊(約5人),規劃與執行數據平台及AI/LLM架構策略 建構並優化 Data Lakehouse、Denodo 虛擬化平台與資料整合流程 推動企業AI/LLM平台與MLOps落地,確保模型開發與部署效能 跨部門協作,將AI技術導入金融服務應用,提升營運效率與決策品質 持續追蹤AI與雲端新技術,制定技術藍圖與團隊成長方向 使用技術 Data Lakehouse(Databricks、Iceberg、Hudi 等) Denodo Data Virtualization Python / Java / SQL 雲端平台:AWS / GCP / Azure MLOps、LLM Fine-tuning、Prompt Engineering
Data Lakehouse
Data Engineering
180万 ~ 210万 TWD / 年
需具备 8 年以上工作经验
管理 1 ~ 5 人

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