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If you● Are a self-driven DevOps Engineer with proven experience in large-scale micro-service systems hosted on AWS● Have a deep understanding of cloud architecture, AWS technologies and cloud security best practices● Are following the latest industry trends and are passionate about cloud computing for large-scale systems Key Responsibilities● Work in a team of DevOps and DBA professionals – initially 3 people, although this will expand throughout the country expansion● Improve existing infrastructure and CI/CD procedure● Holistically improve all aspects of our infrastructure, including reducing costs, improving build and deployment times, streamlining environment provisioning, lowering load times, incorporating the latest techniques and technologies, and more● Monitor and maintain the existing cloud infrastructure via autoscaling, automated alerts● Take ownership and responsibility for our cloud operation activities● Liaise with external security agencies for annual audits as well as perform our own internal security sweeps● Aid in reconfiguring existing architecture to allow for rapid deployments to new countries● Report to DevOps Leader/DirectorOur Stack● Backend Application Framework: Spring Boot (Java Config + Embedded Tomcat)● Frontend Application Framework: VueJS● Micro Service Framework: Spring Cloud Dalston (Netflix Eureka + Netflix Eureka + Netflix Ribbon + Feign)● Database: AWS RDS, RDS Proxy, MONGODB● Public Cache: AWS ElastiCache + Redis● Message Queue: Apache RocketMQ, RabbitMQ● Distributed Scheduling: Dangdang Elastic Job● Data Index and Search: ElasticSearch● Log Real-time Visualization: ElasticSearch + Logstash + Kibana, Grafana Loki● Business Monitoring: Prometheus + Grafana● Reverse Proxy: Nginx● CDN: Cloudflare● Server Virtualization Container: AWS EKS + AWS EC2● Server Operation System: CentOS● Static File Storage: AWS S3● Inner DNS Resolution: AWS Route 53● Network Management: AWS VPC● Cluster Management and Scaling: AWS OpsWorks● Cluster Monitoring: Prometheus + AWS CloudWatch● HTTPS Certificate Management: AWS Certificate Manager● Malicious Attack Defending: AWS WAF Shield● Cluster Alert: AWS SNS + Slack● Continuous Integration/Deployment: Jenkins, Rancher, ArgoCD● Configuration Tool: Ansible, Chef, Sal

Develop B2B2C e-Commerce Platform with latest technologies Be a teammate in a highly dynamic and innovative team in Agile/Scrum approach 使用最新技術開發 B2B2C 電子商務平台 使用 Agile/Scrum 方法，希望您加入我們成為充滿活力與創新精神團隊的一員 Job responsibilities: 1. Establish communication and cooperation with the leadership team and various departments, promote and guide developers to carry out developer work, and be responsible for project planning, online maintenance, etc.2. Support the role of technical backbone in the development team, bear the reality of core technology, and solve technical problems in the development process.3. Conduct system analysis and design according to user needs, provide relevant solutions, and write relevant design and development documents.4. Maintenance and optimization of different systems used in different locations, and solved the technical problems encountered by the development team.5. Perform ad-hoc tasks assigned by management. 1.與領導團隊及各部門建立溝通與合作關係，推動並引導開發人員執行開發相關工作，負責專案規劃、上線維運等事項。2.擔任開發團隊中的技術骨幹角色，承擔核心技術的實作工作，並解決開發過程中的技術問題。 3.根據使用者需求進行系統分析與設計，提出相關解決方案，並撰寫設計與開發相關文件。 4.負責不同地點所使用系統的維護與優化，並協助解決開發團隊遇到的技術問題。 5.執行主管交辦任務。

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家。在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！歡迎對外商新創文化、電商產業有熱誠的人才加入我們的團隊！ 工作職責 開發設計內部系統，使其符合公司的需求和員工特性與業務部門/營運部門團隊進行必要之溝通協調工作。確立需求並明確規格，且持續推進與掌握相關業務之進展，與團隊共同合作完成目標。利用雲服務等技術開發出高擴展性、可靠性的解決方案追蹤系統運行狀況並及時處理問題熟悉並遵守內部開發準則與測試要求系統日常優化與維運作業 條件要求 熟悉任何一種物件導向程式語言熟悉雲端運算服務，如AWS或Google Cloud等良好的溝通能力和團隊合作精神。樂於學習新技術和工具 採用的技術包括但不限於： 前端：HTML, Java Script後端：Ruby on Rails, Python資料庫：MySQL持續整合與部署：Docker雲端運算服務：AWS, GCP 我們的優勢： 完善的新人培訓，幫助新人迅速了解產業知識與實作應用每週定期與Mentor 1 on 1 ，隨時掌握自己的學習狀況外商新創的工作氛圍讓你對專案有高度自主性與發揮空間升級並擴充既有的系統，清楚看到自己對全公司的影響力嚴謹的code review，打下穩固基礎獲得寫出clean code的能力可以自己選擇與公司系統相關的學習方向，主管支持你提升自我彈性工時與工作地點

Key Responsibilities● Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects● Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate● Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production● Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives● Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process● Advanced proficiency in Object Oriented Design (OOD) and analysis. Advanced proficiency in application of analysis/design engineering functions. Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc. Advanced proficiency in advanced behavior-driven testing techniquesOur Stack● Application Framework: Java 8, Spring Boot● Microservices: Spring Cloud (Spring Cloud Config / Open Feign / Spring Cloud Hystrix / Spring Cloud Gateway)● Database: MySQL (Aurora / RDS)● Public Cache: ElastiCache, Redis (MS, Sentinel, cluster)● Message Queue: Apache RocketMQ, RabbitMQ, Kafka● Coordinator: Zookeeper● APM: Jaeger, opentracing● Documentation: Springdoc-OpenAPI● Search and Reporting: ElasticSearch● Log Real-time Visualization: ELK, Loki● Monitoring: Prometheus, Grafana, CloudWatch● Container: Docker, Kubernetes● CI/CD: Jenkins, ArgoCD

AI Engineering LLM Applications | Senior AI Engineer / Tech Lead - TL (Global Financial Group | Fluent English Required) Company Overview Our client is the Taiwan entity of a well-established global financial group with operations across multiple international markets. The organization is known for its strong governance, financial stability, and long-term commitment to technology-driven transformation. In recent years, the company has made significant investments in AI and data-driven initiatives, forming a dedicated AI team focused on delivering production-ready AI solutions that directly support core business operations and customer-facing platforms. This role involves frequent collaboration with overseas teams, making strong English communication skills essential. Responsibilities Lead AI Engineers and Software Engineers to design and deliver AI-powered solutions Apply Machine Learning and LLM technologies to real-world business systems (e.g., call center, telesales, customer interaction and call routing platforms) Collaborate closely with global stakeholders to understand requirements and drive execution Design, build, and maintain scalable, reliable, and secure AI services Ensure high code quality, system performance, and long-term maintainability Contribute to technical decisions, architecture design, and best practices Balance evolving priorities while maintaining delivery momentum Technologies Python (production-grade development) Machine Learning / Deep Learning(PyTorth, TensorFlow) Large Language Models (LLMs) Generative AI FastAPI, Uvicorn Docker, Kubernetes Distributed, high-throughput, low-latency system architectures CI/CD and cloud deployment experience is a plus

Join an international engineering team building the backbone for data discovery and access across our company. You will focus on building the platform, developing the frontend and backend services for our internal Data Catalog and self-service Data Marketplace. You will enable colleagues to find, trust, and use data through intuitive, well-engineered applications. What you’ll do Fullstack Development: Design and build the web applications for our internal Data Catalog and Marketplace using Python (Backend) and TypeScript/JavaScript (Frontend).Infrastructure Ops: Implement infrastructure as code and containerized services (Terraform, Docker).Orchestration: Create and maintain reliable orchestration for data services (Airflow, GCP Workflows).DevOps: Improve CI/CD (GitHub Actions, Google Cloud Build) and production reliability.Governance Features: Build guardrails for access control, lineage, and compliance into the platform.Partner with diverse stakeholders; write clear docs and champion good engineering practices.

We are seeking a Data Engineer (BI) to join our core data team. In this role, you will be responsible for building and maintaining data pipelines to support our Business Intelligence efforts, focusing on Aftersales CX data. You'll work with customer-contact data, transforming it for analysis and reporting to improve aftersales processes. If you are passionate about data engineering and its impact on business intelligence, we encourage you to apply. Key Responsibilities Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.Build and optimize data models in Snowflake for efficient querying and reporting.Implement and maintain data quality checks and monitoring to ensure data accuracy and consistency.Write and optimize complex SQL queries for data extraction and analysis. - Develop interactive dashboards and reports using Power BI to visualize KPIs and insights for stakeholders.Develop and maintain data documentation and metadata.Utilize Google Cloud Platform (GCP) to build and deploy scalable and reliable data solutions. - Manage and automate infrastructure using Terraform for cloud resources.

About Our Client Our client is a forward-thinking financial institution revolutionizing the banking experience through innovative technology. As a rapidly growing player in the digital banking space, they're building next-generation banking infrastructure that combines security, scalability, and exceptional user experience. While we cannot disclose the company name at this stage, they are backed by significant investment and are positioned to disrupt traditional banking models with their tech-first approach. Role Overview We are seeking an exceptional Senior Golang Engineer to join our client's elite engineering team responsible for designing, developing, and scaling their core banking infrastructure. You will be part of a lean, high-impact team building scalable applications that span from frontend UI to backend infrastructure for ventures adjacent to their core business. This role offers a unique opportunity to shape the foundation of a modern digital banking platform, working on everything from payment networks and account management to transaction processing systems. You will collaborate with cross-functional teams to ensure banking systems meet regulatory requirements, security standards, and deliver seamless customer experiences. Technical Environment Projects You'll be working with cutting-edge technology including: Primary Language: Golang for high-performance backend servicesArchitecture: Microservices architecture with cloud-native applicationsAPIs: RESTful APIs following Open API specificationsCloud Infrastructure: AWS/GCP/Azure with containerization (Docker, Kubernetes)Financial Systems: Payment networks, treasury management, FX exchange, and crediting systemsCompliance Systems: KYC/AML infrastructure and regulatory reporting Key Projects Include: Architecting core banking platform components using GolangEstablishing robust payment processing infrastructureImplementing secure banking APIs and integration pointsDeveloping data reporting flows for regulatory complianceCreating financial treasury processes and FX capabilitiesBuilding scalable account management systems Why Join This Team? Innovation: Be at the forefront of banking technology innovationImpact: Build critical infrastructure that will serve millions of customersGrowth: Work in a fast-paced environment with significant career advancement opportunitiesTechnology: Utilize the latest technologies and best practices in fintechPurpose: Help create more accessible, efficient, and secure banking solutions Benefits Competitive salary.Medical insurance with extended coverage to dependents.Attractive annual leave including birthday and work anniversary leave.Flexible work hours and hybrid/remote setup.Internal mobility program for career growth.Visa card upon joining.Benefits packages vary by region.

在 Pinkoi，工程師的任務是讓每個來 Pinkoi 的人都能擁有難以忘懷的使用體驗，你必需擁有極大的熱情，因為我們相信一個令人讚賞的網站服務，是由背後每一位工程師努力的追求卓越，每一個小細節都是 Pinkoi 非常在乎的事情！Pinkoi 致力於打造流暢且量身打造的探索與購物體驗，讓顧客輕鬆發現感興趣的商品、品牌與內容，並加深與平台的連結。同時運用創新的 AI 技術與深厚的產業知識，幫助品牌提升銷售業績、使規模快速成長，成為設計品牌邁向規模化、國際化不可或缺的重要夥伴。工作內容與挑戰維護和迭代網站底層架構，包括正式環境和開發環境，例如：CI/CD 流程、程式語言迭代、資料庫架構調整...等。協助建立與優化內部平台工具，提升開發者體驗。設計與維護監控、告警與可觀測性（logging / metrics / tracing）。產出高品質、穩定、可維護且可讀性高的程式碼，並養成良好的自動化測試習慣。能夠順暢地與各種領域的夥伴溝通合作，例如前端工程師、後端工程師、App 工程師、資料工程師等。擁有快速辨識系統問題的能力，並且能夠確實修復問題。持續改善系統架構、效能與穩定性，並樂於撰寫技術文件、分享知識，提升產品開發體驗。持續研究並導入新技術（如 Cloud Native 工具、AI 輔助開發）與創新想法，並評估其在實際環境中的落地與價值，創造更大的影響力。我們希望你有的特質充滿熱情，你想要做出世界級一流的產品。樂於學習，對於新技術抱有好奇以及開放的態度。良好溝通，能夠清晰地和 Pinkoi 的夥伴們溝通你的想法。主動積極，能發掘系統上的不足或可以更好的地方，並提出改善作法。自我要求，具備高標準、時限觀念和責任感。應徵條件有 2 年以上後端開發經驗，具備開發與維護系統的能力。具備良好的程式基礎，並樂於持續精進（Pinkoi 主要使用 Python，但我們歡迎任何程式語言的使用者來應徵）。對資料庫、資料結構以及演算法有基礎的理解，知道它們如何影響你的程式效能。對 Linux 作業系統有基礎的理解，特別是針對 Process 跟 Thread 的部分。熟悉 container 相關技術（例如：Docker、Kubernetes）。加分條件應用程式效能校調相關經驗。具備 Observability 相關經驗（Prometheus, Grafana, OpenTelemetry）。熟悉使用如 MySQL、Elasticsearch、Redis 等常見服務，並了解在設計與開發中需針對其分散式特性（如一致性、可用性、效能瓶頸）做出相應考量。熟悉以 LLM 工具輔助開發，並整合至日常工作中以提升效率與品質。熟悉雲端平台與基礎設施維運（AWS / GCP / Kubernetes / CI/CD pipeline）。熟悉 Cloud Native, Kubernetes 生態系（Helm, ArgoCD, Operators 等）。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷及小作業回答，即刻應徵！

Responsibilities1. Develop and implement machine learning algorithms and collaborated with cross-function teams, including product, backend teams, and domain experts to optimize clinical and diagnosis workflow. 2. Deploy machine learning algorithms to aetherAI products, including the web-based platform and edge devices. 3. Engage in medical imaging research using machine learning techniques with physicians and teams to solve real-world problems.Minimum Qualifications 1. Experience in machine learning, data mining, statistical modeling, and software design. 2. Fluent in Python programming, including general packages such as NumPy, and deep learning frameworks such as TensorFlow / PyTorch. 3. Familiarity with Linux/Unix environments, Docker, and Git. 4. Good communication and presentation skills.