Staff Backend Engineer - Supply Chain Optimization

Staff Backend Engineer - Supply Chain Optimization 

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living more effortless than ever, we are collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We’re one of the fastest-growing e-commerce companies with 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 significant global public company. This fuels us to continue our growth and launch new services at the speed we have been at 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 to create an epic experience in this always-on, high-tech, hyper-connected world. 

Job Overview:

As our Staff Backend Engineer for Global Inventory and Promise Systems team, you will empower Coupang Fulfillment & Transportation to operate faster, better, and cheaper through modern, reliable, and data-driven technologies. In this role, you will be a key contributor to an area of the business that is rapidly expanding and is recognized for its Rocket Delivery service. The Fulfill to Promise (F2P) team optimizes the real-time distribution of customer orders to FCs nationwide and supports the most efficient order fulfillment process. The F2P team already builds services that process thousands of requests per second, generate trillions of won annually in business decisions, and manage business rules that move millions of products. We are responsible for improving order coordination with technology to deliver products to millions of online shoppers. The role will involve technical leadership on Fulfillment optimization and developing Simulation infrastructure along with a data-science team.

Key Responsibilities:

• Serve as a technical lead on our most demanding, cross-functional projects involving fulfillment optimization.
• Independently  the quality of architecture and design of systems.
• Functionally decompose complex problems into simple, straight-forward solutions.
• Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members.
• Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
• Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake.
• Grow our analytics capabilities with faster, more reliable data pipelines, and better modern tools.

Qualifications:

• Bachelor's degree and/or Master’s degree in Computer Science or equivalent.
• 7+ years of software engineering experience, including Java.
• 7+ years of experience leading large-scale projects.
• 7+ years of knowledge of emerging platforms, Java, C/C++, Android, iOS, operating system principles, and programming best practices.
• Strong understanding of backend scalable software architecture, distributed systems, and message-oriented architecture.
• Experience of full-stack, high-scale production systems with fault-tolerance and monitoring.
• Experience with building stream-processing systems, using solutions such as Kafka and Spark-Streaming.
• Data caching and storage techniques and Creating distributed software architectures with horizontal scale.
• Operationalizing software in a large-scale environment with high availability requirements.

Preferred:

• Experience on creating simulation systems that would simulate outputs coming from Operation research optimization algorithms for data especially for an E-commerce setup.
• Have experience with data engineering and analytics along with backend engineering.
• Experience in the eCommerce domain involved in supply chain optimization.
• Software development experience with Java, Scala and Python.
• Experience with AWS, Java language would be a plus.

Equal Opportunities for All

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Req #R0047833