Staff Backend Engineer - K8 (Envoy)

Please complete the attached Internal Transfer Request Form  and submit.   Please make sure to apply with your Coupang e-mail address .   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’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant 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 Staff Backend Engineer, you will work closely with platform and product leaders to design and deliver solutions for complex infrastructure problems. You will drive the development of highly scalable, reliable, and efficient platform services while providing technical direction across teams working with Java, AWS, Kafka, Kubernetes, Kubeflow, Argo CD, and gRPC. What You Will Do : Architect and build Coupang's next-generation AI Inference Gateway platform that serves mission-critical machine learning and generative AI workloads at scale. Design and develop high-performance request routing, model endpoint abstraction, traffic shaping, load balancing, failover, caching, and policy enforcement mechanisms for inference services. Drive the technical vision and roadmap for scalable, secure, and reliable AI inference infrastructure across cloud and on-prem environments. Develop critical infrastructure components in Go, Java, or Python with a strong focus on performance, resiliency, and operational excellence. Design multi-tenant platform capabilities including authentication, authorization, quota management, cost attribution, rate limiting, and governance controls. Partner closely with ML Platform, Model Serving, Data, and Product Engineering teams to enable seamless deployment and operation of AI workloads. Lead architecture and design reviews, raise engineering standards, and mentor senior engineers across multiple teams. Optimize system performance, latency, throughput, and infrastructure efficiency for…