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]
The Post Purchase Experience (PPE) within Global Operations Technology is responsible for building efficient and scalable online decision-making and offline decision support systems to solve business problems. These systems include logistics network design, warehouse order picking, warehouse layout (stow recommendation, SKU slotting), first-, middle-, and last-mile delivery, revenue management (route pricing), and labor management systems, to name a few. These systems are integral parts of efficient warehouse and logistics operations, which allow Coupang to offer even faster fulfillment times with more coverage and at lower costs. They are key to the bottom line of Coupang Corp.
These systems are extensively integrated with warehouse management and logistics systems, covering everything from order processing to warehouse operations and logistics delivery. The desired candidate will help PPE build systems that drive the overall process and workflow of Coupang’s warehouse and logistics systems. This work will not only include designing and building world-class systems but also driving the adoption of advanced technologies in automation, robotics, and process optimization.
[Key Responsibilities]
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Lead and drive architecture design of PPE systems for scale, extensibility, and reliability
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Envision and drive alignment with stakeholders of the appropriate roadmap and direction of technology for PPE
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Navigate and alleviate technical obstacles and blockers at the organizational level
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Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and “move with urgency.”
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Write code when necessary to lead by example and help with high priority projects
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Proactively identify opportunities in both business and technology
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Review, advise, and carry out the adoption of new technology (both open-source and commercial) that are useful in achieving business objectives
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Lead the architecture design and implementation of services and systems using ML/OR models for business optimization through collaboration with data scientist, product owner, and domain team software engineers
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Design and implement an Online / semi-online serving system of ML/OR model through Backend Server
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Collaborate with the business domain team to integrate into the domain team’s services.
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Build a system that can track the input/output of the model used in the service, and design, implement, and operate a system that can simulate / replay / debugging the model
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Provides ways to increase the productivity of data scientists' analysis work and creates a better environment.
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Consider ways to improve productivity when creating production services of the ML/OR model, and propose and implement a service / framework / platform
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Collaborate with the ML platform team to provide use-cases for services needed by the team and find efficient ways to implement model serving and data serving by utilizing the ML Platform team's services.
[Basic Qualification]
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7+ years of experience in software development at technology companies
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7+ years of experience in developing and operating backend services and web applications
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Experience with Java and Python languages and proficient in using at least one of the two languages
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Solid track record of delivering large and complex systems with significant business impact
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Experience of designing and developing large-scale distributed systems and architectures
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Broad and deep understanding of key technologies in storage, data processing, and serving
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Excellent communications and collaborations across teams and across functionalities
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Capable of object-oriented design and development
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Service development and operational experience in an AWS environment
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Experience driving improvements in code quality
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Experience in automating build/test/deploy
- Experience with Git system for version control
- Experience with relational and column-oriented databases
- Agile experience
[Preferred Qualifications]
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Python backend experience and proficient use of the Python language
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Proficient in using Spark / Airflow
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Practical experience related to data science and machine learning
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Love to learn and apply new technologies
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Experience with logistics-related / warehouse-related service development
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Experience in design and implement a semi-online / offline model serving system of ML/OR model through data pipeline.
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Experience in design and implement an ETL data pipeline for data required for model serving and a system that can serve the data.
전형 절차 및 안내 사항
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전형 절차
- 서류전형 - 전화면접 - 대면면접 – 최종 합격
- 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
- 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다.
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참고 사항
- 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
- 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
- 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.
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개인정보 처리방침
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서류 반환 정책
- 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다.
- 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
- 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일( [email protected] )로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
- 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
