面議(經常性薪資達4萬元或以上) 台北市大同區 3年工作經驗 今天剛更新
About the Role
We are seeking two Fullstack Software Engineers to join our team in building and scaling the Article Publishing Engine (APE).
In this role, you will design, build, and operate high-performance data pipelines that connect complex internal product data streams with external digital marketing channels and partner platforms in real time. If you enjoy solving large-scale data transformation challenges using cloud-native infrastructure and modern software architectures, this role is for you.
What You’ll Do
• Build & Scale: Architect and implement high-throughput data pipelines that ingest, transform, and export product catalog data to partner channels (e.g., Google, Idealo) via APIs, CSV, and XML streams.
• Maintain & Operate: Take end-to-end ownership of backend microservices using Kotlin, Java, and cloud-native AWS infrastructure provisioned with Terraform.
• Develop User Interfaces (Fullstack/GUI): Build fast, reactive, and reliable data management tools using modern frontend frameworks like Svelte 5.
• Optimize Operations: Ensure system reliability, low latency, and real-time processing capability across the entire marketing data lifecycle.
• Collaborate & Innovate: Work closely with cross-functional engineering and online marketing teams to deliver data-driven automation.
What You Bring
Backend Engineering
Must-Haves:
• Strong experience in server-side development using Kotlin and/or Java.
• Solid background in AWS ecosystem and Infrastructure as Code (Terraform).
• Proficiency with SQL databases and query performance tuning.
Nice-to-Haves:
• Hands-on experience with streaming architectures (Kafka).
• Strong DevOps / CI/CD / Operations mindset (monitoring, logging, infrastructure management).
Frontend / GUI Development
Should-Haves:
• Experience with modern JavaScript/TypeScript UI frameworks, specifically Svelte 5 (or strong core framework experience with a desire to use Svelte).
• Familiarity with data table visualization tools such as Tabulator Tables.
• Hands-on experience writing modern frontend tests using Vitest and Happy DOM.
Nice-to-Haves:
• Experience with Vue 3.
About the Product
The Article Publishing Engine (APE) acts as an intelligent bridge between internal product data environments and the global digital marketing ecosystem. APE transforms highly complex, large-scale product data into optimized formats required by external channels—intelligently, scalably, and in real time. Beyond technical data conversion, APE drives optimization across the entire online marketing value chain.
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