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Oferty pracy › Oferta 4 dni temu

[TW Catalog] Staff Back-end Engineer

Coupang · Beijing, China

StacjonarnieAngielski

O stanowisku

Z ogłoszenia pracodawcy · Coupang · opublikowano 1 października 2026

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

TW Engineering is a dedicated engineering org for Coupang core business in Taiwan. The team has end-to-end ownership of the systems, and we are working with local business stakeholders, product team very closely to wow the customers and scale the business. We develop and maintain scalable and sustainable platforms to empower our business, including but not limited to Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for landing, tracking, personalization & attribution. We leverage big data, NoSQL, analytics, real-time processing and Machine Learning to build mission-critical and highly scalable services that are reliable 24/7.

  • Architect, desig

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