Engineering Manager, Global Ops Tech (Supply Chain Optimization)

Engineering Manager, Global Ops Tech (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 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 entrepreneurial 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.

Job Overview:

As our Software Development Manager for the Fulfillment Optimization, you will lead and manage both engineering and data science teams to 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 leader in an area of the business that is rapidly expanding and is recognized for its Rocket Delivery service. Fulfillment Optimization 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.

Key Responsibilities:

● Lead and manage engineering and data science teams on our most demanding, cross-functional projects involving fulfillment optimization.

● Ensure 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 team members, actively mentoring individuals and the community on advanced technical issues

● Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.

Qualifications:

● Bachelor’s degree and/or Master’s degree in Computer Science or equivalent.

● 3+ years of experience managing Engineering and Datascience teams involved in building large-scale projects

● 7+ years of software engineering experience, including Java.

● 7+ years of knowledge of emerging platforms, Java, C/C++, Python, Datascience/Machinelearning,operating system principles, and programming best practices.

● Strong understanding of backend scalable software architecture, distributed systems, and message-oriented architecture.

● Experience with 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 Qualifications:

● Experience in creating simulation systems that would simulate outputs coming from operation research optimization algorithms for data, especially for an e-commerce setup.

● Experience in the eCommerce domain involved in supply chain optimization.

● Experience with AWS;

Minimum Qualifications

• Bachelor, Master or PhD degree in Computer Science, Electronic Engineering, Industrial Engineering, or related discipline with 10+ years of experience with large scale backend distributed systems.

REQ # R0047660