Cake Recruitment Consulting

The Role — Engineer This is not a "take tickets, ship UI" role. We are looking for an engineer who can carry the PM × Engineer archetype on our Senior AE track: Judge what to build, not just how. Look across the card pool, decide which features unlock revenue fastest, ship them, then own retention. Talk to clients directly. Team scouts, TV producers, league operators — you'll work with them 0–1 layer away to scope and de-risk requirements. Prototype-driven. Claude Code is our core productivity tool. We expect you to use AI assistants natively to compress build → ship cycles. Own end-to-end delivery. Frontend, backend, schema, deploy — you should be comfortable shipping a feature alone if needed. Key Responsibilities Develop, deploy, test, and maintain user-facing surfaces for our cloud platform — covering video editing, live streaming tools, and sports game management software. Work directly with clients and operations to translate ambiguous requirements into shippable specs; set your own priorities in coordination with the CTO and COO. Build and optimize systems that handle live video streams, real-time metadata, and AI-driven post-processing. Use TypeScript and React/Redux on the frontend, Node.js and Python on the backend, Postgres + PostgREST for data, plus tools like GitHub, Docker, and AI APIs (Gemini, Claude). Integrate third-party APIs and tools to support live streaming, real-time game statistics, and AI editing capabilities (Gemini, OBS, RTMP/HLS pipelines). Write runbooks and harden recurring incidents — reduce the load on the on-call rotation by fixing root causes.

1.產險核心應用系統開發、維運，及跨系統架構設計與服務API開發。 2.系統整合測試與功能檢測 。 3.與開發團隊及委外廠商協同合作，參與新專案。 4.針對資安弱點修補及處理

Company Overview We are partnering with a fast-growing AI SaaS startup building next-generation content intelligence and automation platforms. The product has rapidly scaled to millions of global users and established strong product-market fit within a highly competitive AI space. Backed by top-tier international investors and demonstrating strong revenue growth, the company is now entering a hyper-scaling phase. The team operates as a globally distributed organization across North America and Asia, embracing a fully remote work model. The engineering culture is AI-first, highly ownership-driven, and product-focused, where engineers are empowered to directly shape core systems and business outcomes. This is a rare opportunity to combine technical depth with real product impact at scale. Responsibilities Design and build core backend systems, including subscription, billing, and payment infrastructure Develop scalable APIs and backend architectures Integrate third-party payment services (e.g., Stripe, PayPal) Collaborate with cross-functional and international teams to deliver features quickly Leverage AI tools and AI agents to automate workflows and improve engineering productivity Continuously optimize system performance, scalability, and reliability Tech Stack Backend: Node.js / Python / Go Architecture: Microservices, RESTful APIs Tools: ChatGPT, Copilot, AI Agents Infrastructure (plus): CI/CD, Kubernetes Why Join? Work on a globally scaled AI product with millions of users Tackle high-impact, large-scale system challenges AI-first engineering culture that truly integrates AI into development workflows Fully remote setup with international collaboration High ownership and direct influence on core product and business growth

Full-Stack Product Development Develop and maintain end-to-end product features spanning backend services and user-facing interfaces. Design scalable APIs and well-structured data models that enable rapid iteration while supporting long-term system growth. Work closely with product managers and designers to deliver reliable and intuitive workflows. AI Infrastructure Data Pipelines Build and improve data pipelines that support AI workflows, including data ingestion, processing, and model serving. Evaluate and integrate different storage technologies, including search engines and vector databases. Optimize data retrieval, ranking logic, and access patterns to improve performance and relevance. Streaming Platform Reliability Diagnose and resolve issues across the live streaming pipeline, from ingestion and encoding to distribution and playback. Enhance system observability to monitor stream health, performance, and user experience. Develop internal tools to detect issues early, support root cause analysis, and reduce recurring incidents. Monitoring, Analytics Operational Tooling Build operational dashboards and reports to track key system metrics such as uptime, latency, and error rates. Improve monitoring and alerting systems with meaningful signals and well-documented response procedures. Leverage AI-powered tools to enhance operational workflows, including incident triage and anomaly detection.

公司介紹 這是一家深耕數位娛樂產業超過30年的上市企業，市值突破千億規模，產品橫跨全球市場，長期維持穩定獲利與高度成長動能。 公司已從單一遊戲產品思維，升級為整合內容開發、平台營運與全球市場佈局的成熟商業模式。除了強大的產品研發能力，也具備穩健的現金流與長期投資技術升級的資源。 工程團隊參與的是高流量平台系統、即時互動活動專案與營運型產品架構優化，能真正接觸到真實市場規模與商業轉換數據，而不是只做單點功能開發。 如果你希望加入的是：✔ 穩定獲利且具長期發展性的上市企業(分紅相當可觀） ✔ 真正有流量與營收規模的線上產品環境 ✔ 技術能落地、效能優化有實際價值的團隊 這會是一個值得認真評估的機會。工作內容 建置與維護互動式活動網站前後端系統開發與優化內部營運後台管理工具串接第三方服務 API 與外部平台整合官方網站架構優化與效能提升導入 AI 工具優化開發流程與製程效率 此角色會參與實際營收型專案，面對真實用戶流量與系統穩定性挑戰，對效能與品質有一定標準。 技術環境 Backend： C# / ASP.NET / .NET Core 或 Golang Frontend： JavaScript / HTML5Vue2 / Vue3（框架不限）jQuery Database： MS SQL / MongoDB Other Tools： Git / GitHubGCPELKTailwindCSSNuxtUnitTest 加分條件： AI 工具應用經驗系統架構設計能力具線上遊戲產業相關經驗

🚀 Company Overview Our client is a US-based technology company operating several large-scale global platforms. The products serve users from different cultures and regions, with millions of active members worldwide. The engineering team focuses on building high-traffic, high-availability systems and continues to upgrade the platform with AI-driven solutions. The company has a mature remote-work culture and values ownership, system reliability, and long-term technical growth. This role offers the opportunity to: Work on global-scale products Solve distributed system and high-concurrency challenges Apply AI in real production environments Participate in real architecture and technical decisions If you are looking for both technical depth and real impact, this could be a great next step in your career. 🧩 Responsibilities Full Stack Product Development Build and maintain end-to-end features across backend and frontend systems Design clean APIs and scalable data models Collaborate with product and design teams to deliver stable and user-friendly features AI Pipeline Data Systems Build and improve AI data processing and serving pipelines Evaluate and integrate new databases, including search and vector databases Optimize data retrieval, ranking, and performance Live Streaming System Reliability Troubleshoot issues across ingest, transcoding, delivery, and playback Improve system observability and platform health monitoring Develop tools to prevent repeated production incidents Reporting Monitoring Build dashboards and stability reports for uptime, latency, and errors Improve alerting systems with clear and actionable signals Use AI tools for anomaly detection and incident analysis 🛠 Tech Stack Backend: Python Frontend: React Databases: Postgres / MySQL / Redis / NoSQL Search Vector DB: OpenSearch / Elasticsearch / Qdrant Streaming: RTMP / HLS / WebRTC / FFmpeg Observability: Grafana / Kibana / Datadog / Prometheus Cloud: AWS / GCP / Azure DevOps: Docker / Kubernetes / CI/CD

🚀 我們正在協助一家專注於 智慧製造與工程設計數位化解決方案 的新創團隊招募 Full Stack Engineer。團隊致力於運用 AI 技術優化工程設計流程與產業效率，產品已實際導入製造場域並持續拓展應用場景。 ✨此職位將依候選人技術背景，彈性分配前後端開發比例，並參與團隊技術選型、規劃、到實作落地的完整流程。 【Responsibilities】 參與產品功能規劃與技術方案討論 開發與維護核心產品與新功能模組 撰寫高可維護性與可擴展性的程式碼 設計與開發 RESTful API，支援前端與第三方系統整合 開發資料分析工具或內部營運輔助系統 優化資料庫架構與資料存取效能 監控系統效能並持續優化服務穩定度與回應速度

【Company Highlights】一家專注於 工業製造 AI 視覺檢測系統 的科技公司，其使命是在製造業中利用 AI 提升品質控制效率與準確性。結合深度學習（Deep Learning）與機器視覺（Computer Vision）技術，用 AI 替代人工與傳統檢測方式。【Responsibilities】Develop and operate frontend systems that enable users to interact with data processing, annotation, and operational workflows. Own the full lifecycle of frontend features, including implementation, testing, deployment, and ongoing maintenance.Work cross-functionally with AI, backend, and product teams to validate requirements, prototype solutions, and ship production-ready features.Make informed trade-offs between user experience, system complexity, and engineering constraints.Drive continuous improvement by incorporating user feedback, monitoring usage, and optimizing existing functionality.

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

【Responsibilities】參與核心系統的架構設計與實作，包含系統邏輯規劃、資料模型設計與長期可維運性考量負責主要後端商業邏輯的開發，確保網站功能穩定、效能良好，並持續優化既有系統規劃並串接各類第三方服務，確保系統整合流程順暢且具擴充性與設計與產品團隊合作，實作前端畫面與使用流程，確保功能與體驗一致持續參與產品方向與技術決策討論，對系統演進、技術選型與開發流程提出建議與改善方案