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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。

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

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！

About the Role We’re looking for a Senior AI Algorithm Engineer with a strong background in image processing and vision-language AI. You will lead the design and optimization of cutting-edge computer vision and inference algorithms, with applications spanning color analysis, image stitching, and multimodal understanding. This role requires hands-on experience in deep learning, cloud deployment, and production-level AI integration. You’ll also work with frameworks such as NVIDIA NeMo and deploy AI services using NIM to cloud platforms like GCP and AWS, with Kubernetes for orchestration. What You’ll Do Design and implement deep learning models for image processing, object detection, and anomaly detectionDevelop models for color recognition, color classification, and image-based feature analysis Fine-tune or integrate Large Language Models (LLMs) for vision-language tasks such as captioning, semantic search, and classification Optimize models for accuracy, inference speed, and resource efficiency Deploy and scale model services on GCP / AWS using Kubernetes (K8s) Utilize NVIDIA NeMo to train and deploy LLMs or VLMs, and package models into lightweight Docker containers served via NIM architectureCollaborate closely with product, frontend, and backend teams to integrate AI features into real-world applications

公司介紹 我們的客戶是一家長期穩居市場領先地位的金融集團級企業，在台灣及亞太市場擁有完整佈局與穩健的獲利基礎。近年積極推動數位轉型與雲端化，投入大量資源打造新世代核心系統與應用中台，以科技驅動金融服務創新。 組織文化強調誠信、當責與專業，並持續培育能結合金融與科技的關鍵技術人才。 工作內容 規劃並建置應用中台架構與共用服務框架 提供技術指導，協助開發團隊解決系統設計與效能議題 協調前後端及外部系統整合，確保系統穩定與可擴充性 撰寫並沉澱架構與技術文件，形成長期可複用的技術資產 使用技術 Java / Spring Boot / Microservices Distributed System Architecture Docker / Kubernetes / CI-CD AWS / GCP（擇一或多項） DevOps / Cloud Native 架構 為什麼值得你考慮？ 真實高流量、高穩定度的金融核心場景，非單一產品系統 制度成熟、技術可長期累積，不是短期專案型開發 可發揮架構影響力，參與長期平台與中台設計 穩定大型組織，兼具轉型挑戰與職涯安全感

公司介紹 我們是一家專注於 AI 與實體場域結合 的成長型科技新創，產品已在海外市場實際落地並產生商業價值。團隊成員來自多家國際級科技公司與 AI 新創，文化務實、工程導向，重視「真的能跑在 Production」的系統。 目前正組建一支高自主性的 Venture Squad，從零打造新一代產品，直接支援公司下一階段的全球擴張。 工作內容 從規格定義開始，主導前後端功能的完整交付 與 PM 深入探索實際營運痛點，快速建立可驗證的產品原型 以 AI-native workflow 提升開發效率，同時維持架構品質 為自己開發的系統負責 Production 穩定度、監控與錯誤處理 持續優化系統設計，確保可擴展性與長期可維運性 使用的技術 Python Web Services Docker（Kubernetes 加分） AWS（S3 / Lambda / ECS） CI/CD、Testing、Observability AI 工具輔助開發（Code / Spec / Testing） 為什麼值得加入？ Founding Influence：從第一天參與定義技術與文化 Direct Impact：產品直接影響公司下一階段營收成長 AI Sandbox：自由實驗 AI 在軟體工程中的未來形態

🏢 Full-Stack Software Engineer (AI × Safety Tech) Location: Taipei / Taoyuan (Hybrid Remote) Job Type: Full-time Compensation: Competitive base + performance bonus (negotiable based on experience) Seniority: Mid to Senior (4–6 years) 🎯 Responsibilities 🛠 Product Development Build and iterate the core SAFE platform used in smart pool / open-water / port safety systems. Frontend development for operator dashboards: maps, zone overlays, live streams, alerts, events, and reports. Backend development of REST/gRPC APIs and real-time WebSocket services integrating: AI inference pipelines ePTZ tracking modules RTSP/ONVIF camera streams NVR / VMS systems Design of event stream pipelines using Kafka / MQTT / RabbitMQ for real-time alerts and post-recording workflows. 🔗 System Integration Collaborate with AI engineers to define inference APIs, score thresholds, and versioning (incl. A/B testing). Work closely with field engineers (FAEs) and hardware partners on-site deployments: cameras, edge boxes (GPU), ePTZ, and network topology. ⚙️ Deployment DevOps (DevOps/SRE) Build reproducible cloud + edge environments using Docker, K8s, Helm, Terraform. Own the CI/CD pipelines (GitHub Actions or GitLab CI): release management, automated testing, rollback procedures. Monitor system health: Prometheus/Grafana, ELK/OpenSearch, Sentry for logs, metrics, and availability. 📦 Productization Customer Success Parameterize site-specific configs (alert levels, whitelist/blacklist, camera/network setup, sensitivity). Author technical documentation, setup guides, and support field testing or PoC if needed. ✅ Requirements (Must-Have) 4–6 years of hands-on web product development experience. Able to own features from spec → design → implementation → deployment → maintenance. Frontend: TypeScript + React (or Vue). Familiar with WebSocket, HLS, WebRTC basics. Backend (proficient in at least one, and can quickly learn others): Go (Golang): Gin/Fiber or similar Node.js: Express/NestJS Python: FastAPI Solid API design, database schema modeling, and testing skills. Databases: PostgreSQL, Redis (caching, job queues, Pub/Sub). DevOps: Docker, basic Kubernetes, CI/CD experience (GitHub Actions or equivalent). Streaming: Familiarity with RTSP/ONVIF, NVR/VMS playback and access control. Collaboration: Ability to communicate across AI/FAE/PM teams and decompose fuzzy specs into shippable tasks. ⭐ Bonus Points (Nice-to-Have) Required: Completion of at least one cybersecurity-related training or certification, e.g.:ISO 27001 internal auditor courseCloud security foundation (AWS/GCP)Complex audits (e.g. penetration testing, CVE remediation) are handled externally; you’ll only need to apply fixes and adjust configs as needed. Real-time low-latency streaming: WebRTC, FFmpeg, HLS/DASH experience. Kafka / MQTT event stream experience. ONVIF PTZ camera control, multi-camera stitching. Infrastructure-as-Code: Terraform, Helm, Kustomize. Observability: Alert rule design (e.g., latency, packet loss, GPU usage, noise suppression). Language: Ability to read/write technical English; conversational Japanese is a plus (for overseas partner support).

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science or Information Systems, or a related technical field, or equivalent practical experience. 5 years of experience project managing and delivering technical solutions. Experience with architecting, developing, and maintaining technical solutions by leveraging virtual machines, containers (e.g., Kubernetes/Google Kubernetes Engine GKE), serverless computing, or Software Defined Networking (SDN). Experience working in a cloud computing environment (i.e., infrastructure, storage, platforms or data). Experience in microservices, serverless computing, and web technologies. Ability to communicate in English and Mandarin fluently to support support client relationship management in the Taiwan region. Preferred qualifications: Experience with customer-facing migrations, including service discovery, assessment, planning, execution, and operations. Experience with detailed network security and system design of load balancers, firewalls, and VPN in the deployment of virtual machines and containerized applications. Experience reading software code in one or more languages (e.g., Java, JavaScript, or Python). Experience with DevOps practices, including infrastructure-as-code, continuous integration, automated deployment, unit or automated testing tools.. Experience with Kubernetes or GKE. Experience in systems design, with the ability to architect or explain systems interactions including data flows, common interfaces, APIs, and methods available. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As an Application Modernization Cloud Consultant, you will work with Google’s customers on critical application development and modernization projects to help them transform their businesses. You will provide consulting, program management and technical expertise to customers while working with client executives and key technical leaders to drive adoption of modern applications and cloud native products on Google Cloud Platform. You will work with customers on application re-design and implementation, including application scaling, reliability, and ongoing operations such as application and feature rollouts, monitoring, and more. You will work with product management and product engineering to build and facilitate excellence in our products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Collaborate with customer development leads, client executives, and partners to manage and deliver successful, modern cloud applications, serving as a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud native application development solutions according to customer requirements and implementation best practices. Partner with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Engage with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel up to 30% of the time for client engagements 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.

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

About BTSE:彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms. 彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.About the Opportunity:We are looking for a Senior Infrastructure Cloud Engineer to design, build, and maintain robust AWS-based cloud infrastructure that powers our mission-critical systems. You will champion Infrastructure as Code, automation, and modern DevOps practices to deliver scalable, reliable, and secure cloud environments. This is a hands-on technical role where you’ll collaborate across teams to drive operational excellence and innovation in our cloud platform.Responsibilities:Architect Build: Design and implement secure, scalable, and automated AWS infrastructure solutions.CI/CD Excellence: Maintain and enhance CI/CD pipelines using GitLab CI, ArgoCD, and related tools.Observability: Build and manage monitoring and logging stacks (e.g., CloudWatch, EFK, Prometheus, Grafana) to ensure system health and performance.Automation: Automate provisioning and configuration using Terraform/Terragrunt, Ansible, and GitOps workflows.Governance Resilience: Implement cloud governance, backup, disaster recovery, and cost optimization strategies.Collaboration: Partner with application and platform teams to support cloud adoption and ensure high availability.Incident Response: Troubleshoot incidents, perform root cause analysis, and drive continuous improvement.Documentation: Maintain clear, up-to-date architecture, operations, and automation documentation.Requirement:5+ years in cloud engineering, DevOps, or SRE roles.3+ years of hands-on AWS experience.Proficiency with Infrastructure-as-Code tools (Terraform, Ansible).Strong background in containerization and Kubernetes (EKS preferred).Solid experience with CI/CD and GitOps workflows (GitLab CI, ArgoCD).Hands-on experience with observability tools (EFK, Prometheus, Grafana).Strong understanding of cloud networking, IAM, and security best practices.Perks BenefitsCompetitive total compensation packageVarious team building programs and company eventsComprehensive healthcare schemes for employees and dependantsAnd many more! Apply and let us tell you more!#LI-JY1