Cari Lowongan

為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。4.生日小驚喜，公司記得你的每個重要時刻。5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！ About the roleWe are building a reliability-first platform. Over the next 12 months, we will stabilize our Windows-based services, strengthen observability, and progressively containerize into Kubernetes. You will be a key contributor driving self-service operations and data-driven reliability across the stack. What you’ll do• Operational automation: Build self-service runbooks for Windows services (AWX/Rundeck), implement Ansible/PowerShell DSC workflows, health checks, and safe rollbacks implementations.• Observability: Standardize metrics/logs/traces (Prometheus/Grafana, windows_exporter, OpenTelemetry; ELK/Loki). Create golden-signal dashboards and actionable alerts.• Reliability engineering: Participates in on-call, handle incidents and post-incident reviews (PIR), and lead game days to institutionalize SOPs.• Resilience: Design and implement backup disaster recovery, capacity planning, and performance tuning.• Long-term: Drive service containerization and Kubernetes adoption (Helm/Kustomize, Argo CD/Flux, ConfigMap/Secrets) with a strong focus on security and compliance.

About aetherAI雲象科技致力於推動以 AI 為核心之病理數位轉型透過深度學習及醫療影像等技術，開發軟體平台及高階軟體醫材，讓 AI 技術能真正深入醫療院所。不斷創新並促進醫療技術 AI 化，提升醫療品質，實踐精準醫療，造福人類。 Official Website: https://www.aetherai.com/zh Responsibilities 開發與維護 AI 醫療影像產品資料庫的設計與優化與資料科學家合作，部署 AI 模型，並將推論功能整合進臨床、研究的工作流程中建置基於 Docker Compose 跟 Kubernetes 的部署工具

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. Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into technical needs, connect and automate data pipelines, and deliver data architecture and data governance solutions. Responsibility: Perform IT system architecture design, new technology research, and provide recommendation.Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.DataOps high availability NoSQL DB (e.g.: Cassandra, S3/MinIO, MariaDB, etc.) on K8s environment.

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！

We are looking for ● Are a self-driven Database Reliability Engineer with proven experience in managing large-scale database systems in production environments. ● Have a deep understanding of database architecture, performance optimization, high availability solutions, and database security best practices. ● Are following the latest industry trends in database technologies and are passionate about building reliable, scalable data infrastructure. ● Have strong automation mindset and programming skills to build tools that improve database operations and reliability. ● Understand SLI/SLO/SLA concepts and have experience implementing reliability engineering practices. Our Stack ● Relational Databases: AWS Aurora MySQL/PostgreSQL ● NoSQL Databases: MongoDB Atlas, AWS DocumentDB ● Caching Layer: AWS ElastiCache, Valkey ● Message Queue: Apache RocketMQ, RabbitMQ ● Search Engine: ElasticSearch, Mongo Atlas ● OLAP: Redshift ● Monitoring Alerting: Prometheus, Grafana, Loki, Alert Manager ● Backup Recovery: AWS Backup, Point-in-Time Recovery, Cross-Region Replication ● Database Proxy: RDS Proxy ● Infrastructure as Code: Terraform, Ansible ● CI/CD Integration: Jenkins, ArgoCD, Github Action, Helm ● Network Security: AWS VPC, Security Groups, AWS Secrets Manager ● Programming Languages: Golang, Python ● Containerization: Kubernetes

以「釋放製造業的潛力」為使命，致力於推動製造業的數據平台產品。 2022 年透過機器學習等多種技術，將製造業中極為重要的圖面數據進行結構化，並與各類資訊連結，讓圖面能夠作為資訊資產被靈活運用。該產品目前已被日本國內眾多大型製造商與加工公司廣泛採用，成長迅速。 自 2023 年起，我們也開始向海外市場拓展，包括美國、泰國、越南等地，加速推進全球佈局。 未來，我們將不只限於圖面資料，而是致力於透過科技手段，重現與整合製造業的專業知識，實現跨部門、跨企業的整體最適化。【工作內容】 MLOps 工程師將與機器學習工程師密切合作，負責建構、維護與營運能夠穩定提供機器學習與數據科學模型的系統基礎架構。此外，您也將引領建立數據收集管線，並推動數據資產活用。 以下為工作內容示例，實際工作項目不僅限於此，入職後的工作範疇將依據您的技術能力、專業知識與經驗共同討論決定： 建構支援機器學習模型推論的 API 與 Batch 運行環境，及使用 CI/CD 進行部署的系統架構 在正式環境中執行監控、效能調校等提升 Site Reliability 的相關開發 使用 Vertex AI 或 Argo Workflow 建立、維護與運營機器學習處理流程（Pipeline） 最佳化推論與訓練平台的成本效益 與建模人員、平台工程團隊進行有效溝通，並將相關流程進行文件化與制度化 ■ 使用語言 前端：TypeScript 後端：Rust、TypeScript、Python ■ 框架與函式庫 前端：React、Next.js、WebGL、WebAssembly 後端：Rust（axum）、Node.js（Express、Fastify、NestJS）、PyTorch ■ 基礎架構 Google Cloud、Google Kubernetes Engine（GKE）、Anthos Service Mesh ■ 資料庫／資料倉儲 CloudSQL（PostgreSQL）、AlloyDB、Firestore、BigQuery ■ API GraphQL、REST、gRPC ■ 監控與效能追蹤 Datadog、Sentry、Cloud Monitoring ■ 環境建置 Terraform ■ CI/CD GitHub Actions ■ 認證管理 Auth0 ■ 開發工具 GitHub、GitHub Copilot、Figma、Storybook ■ 團隊溝通工具 Slack、Discord、JIRA、Miro、Confluence

# Role Overview We are looking for a pragmatic Frontend Engineer to join our product team. You will focus on building the user interface within our modern SSR architecture. While our backend team handles the heavy lifting of server infrastructure and databases, your mission is to ensure the frontend is performant, type-safe, and visually polished. Note: You are NOT expected to be a Full-stack engineer. We value deep expertise in the frontend domain. # Our Tech Stack You will work in a modern, high-performance environment. While you don't need to be an expert in every tool from day one, here is our daily toolkit: - Architecture: npm (Workspaces), React Router 7, Fastify SSR (Remix patterns) - Language Style: TypeScript, TailwindCSS - DevOps Orchestration: Kubernetes (K8s), Argo CD (GitOps Workflow) - CI/CD Pipeline: Vite, Vitest, GitLab CI, Docker (Monorepo) - Infrastructure: Hybrid Setup (Local On-premise Dev Environment GCP Production) - Observability: OpenTelemetry (OTel) - Ecosystem: MongoDB, Redis, Elasticsearch # Key Responsibilities - Build modular, type-safe UI components and responsive layouts that deliver seamless product experiences. - Implement efficient data fetching strategies and state management patterns explicitly tailored for a Server-Side Rendering (SSR) environment. - Collaborate early with Cross-Functional teams (PMs, Designers, Backend Engineers) to assess technical feasibility and define clear API contracts. - Ensure application stability and quality standards by writing unit tests and actively participating in code reviews via our CI/CD pipelines. - Make pragmatic engineering decisions that effectively balance code quality with delivery timelines, including documenting technical debt when necessary.

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. The Infrastructure and Platform Engineering Department (IPED) in TSMC's Intelligent Manufacturing Center (IMC) is dedicated to enhancing system stability and developer productivity. As TSMC's production scale continues to expand, the core focus is on smart manufacturing through deep system integration to maintain high yield and efficiency. Within this team, you will assist in implementing new cloud architectures (K8S) and other related cloud-native technologies to achieve the goals of DevOps. General job responsibilities for this job position are: Develop and maintain cloud-native related systems based on the K8S architecture.Tune system configurations based on metrics and user feedback.Work closely with internal development teams and seek new tools that can enhance productivity.Conduct POC (proof of concept) and assist internal development teams with implementation.

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.The Infrastructure and Platform Engineering Department (IPED) in TSMC's Intelligent Manufacturing Center (IMC) is dedicated to enhancing system stability and developer productivity. As TSMC's production scale continues to expand, the core focus is on smart manufacturing through deep system integration to maintain high yield and efficiency. Within this team, you will assist in implementing new cloud architectures (K8S) and other related cloud-native technologies to achieve the goals of DevOps. General job responsibilities for this job position are: Develop and maintain cloud-native related systems based on the K8S architecture.Tune system configurations based on metrics and user feedback.Work closely with internal development teams and seek new tools that can enhance productivity.Conduct POC (proof of concept) and assist internal development teams with implementation.

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. The Infrastructure and Platform Engineering Department (IPED) in TSMC's Intelligent Manufacturing Center (IMC) is dedicated to enhancing system stability and developer productivity. As TSMC's production scale continues to expand, the core focus is on smart manufacturing through deep system integration to maintain high yield and efficiency. Within this team, you will assist in implementing new cloud architectures (K8S) and other related cloud-native technologies to achieve the goals of DevOps.General job responsibilities for this job position are: Develop and maintain cloud-native related systems based on the K8S architecture.Tune system configurations based on metrics and user feedback.Work closely with internal development teams and seek new tools that can enhance productivity.Conduct POC (proof of concept) and assist internal development teams with implementation.