Senior Back-end Engineer (Cloud Infrastructure Automation)

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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 As a Senior Back-end Engineer, you will architect, design, and scale core backend services and cloud platform infrastructure capable of supporting 10X business growth, 99.999% availability, and sub-millisecond latencies.

You will dive deep into complex domain problems, collaborate with engineering leaders across global locations, and build self-service, resilient backend systems. In this high-impact role, you will combine hands-on technical execution with engineering leadership to drive continuous operational excellence.

What You Will Do

• Design, build, and maintain high-performance, highly available, and scalable backend services to support 10X scale.
• Architect resilient distributed systems and APIs capable of handling massive concurrency with sub-millisecond latencies.
• Define technical vision and system architecture leveraging cloud infrastructure to achieve 99.999% availability.
• Develop self-service platform tools and end-to-end cloud deployment automation using Terraform, Python, or Go.
• Optimize CI/CD pipelines, containerized environments (Kubernetes, Docker), and automated testing/monitoring systems.
• Identify system performance bottlenecks, optimize cloud infrastructure usage, and enforce security and networking best practices.
• Solve complex technical problems across Public Cloud (AWS, GCP, Azure) and Hybrid Cloud environments.
• Exert technical influence across multiple engineering teams through mentorship, architectural reviews, and continuous knowledge sharing.

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