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Sr. Fullstack Engineer

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Onsite

Sr. Fullstack Engineer

Adecco

Sr. Fullstack Engineer

Skills

Google Cloud PlatformSQL QueriesReactTypescriptDjangoFlaskPythonPostgreSQLGraphQLGrafanaData AnalysisAIAWSdbtAnsiblePrometheusFastAPI

7 days ago

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Important information


Contract type:

Permanent

Location:

Taipei, Taiwan

Work mode:

Onsite

Published on:

13 October 2026

What they need


於 2019/2 成立,是上市企業飛捷科技投資的子公司,也是間獨立營運的新創。團隊雖小,但不惜重本打造一支夢幻隊。技術團員分別來自: Microsoft、Appier、HTC 等大型跨國科技企業與 AI Labs、Umbo CV、Gogolook、Cubo AI 等知名新創。團隊包含了深度學習、電腦影像、演算法、前後台軟體設計以及硬體設計等各領域頂尖專家 。

主要客戶包含全球第 2 與第 3 大漢堡連鎖業者 Burger King 和 Wendy’s,以及全球第 3 大披薩連鎖業者 Little Caesars。Berry 於 2022 年開始與多家美國客戶展開合作,試營運獲得肯定,並於 2023 年擴大合作,將產品導入更多分店。2025 年更與美國品牌 Zaxby’s 簽署全品牌導入合約,預計導入近千家門市,顯示我們產品在美國市場得到客戶高度信任,且已擁有成熟的技術能力,將成為美國速食 AI 科技領導業者。

[Candidate Profile] ■ 5+ years shipping production web applications, with deep experience in TypeScript (React/Vue/Angular) and Python (FastAPI/Django/Flask).

■ A track record of owning features end-to-end — schema design, API contracts, frontend state, deployment, and post-launch iteration.

■ Strong cloud and system-design fundamentals — designing for AWS/GCP at scale (compute, storage, autoscaling), clean REST/GraphQL contracts, and async/event-driven pipelines.

■ Deep SQL and data-modeling experience — PostgreSQL at scale, dimensional modeling for analytics, and dbt or equivalent transformation tooling.

■ Disciplined practice of DevOps and SRE — metrics (Prometheus, vmagent, Grafana), structured logging, tracing, runbooks.

[Responsibilities] ■ Ship product features end-to-end across our hybrid cloud-edge architecture — from edge services through cloud APIs to the daily analytics restaurant operators rely on.

■ Build out our data platform — data ingestion pipelines from thousands of stores, dbt models, and the warehouse powering our dashboards.

■ Collaborate with our AI engineers to turn their models into product features — clean APIs, intuitive UIs, and the insights they unlock.

■ Contribute to the operational backbone — Ansible playbooks, CI/CD pipelines, and observability — that lets us deploy, monitor, and operate the fleet.

  • Strengthen our on-call practice — leading postmortems, sharpening alerting and runbooks, and turning incidents into durable fixes.

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