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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 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 The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you. What You Will do Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 4+ years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master’s or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays 6 weeks Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. 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. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ 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 . Job Requisition: R0076557

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 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 The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you. What You Will do Design features and build large-scale machine learning models and systems to improve relevance, ranking, personalization and engagement Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 4 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master’s or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays 6 weeks Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. 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. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ 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 . Job Req: R0073340

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. Team Overview The Recommendations team optimizes the customer product discovery experience to drive long-term growth. As millions of shoppers encounter recommendations across every screen daily, these interactions account for over half of Coupang’s total sales alongside search, serving as a primary engine for key business initiatives. We focus on enhancing recommendation quality while providing our ranking systems as a platform for stakeholder teams company-wide. By leveraging state-of-the-art AI/ML technologies and building highly scalable systems, we aim to provide a "wow" discovery experience that anticipates customer needs even before they are explicitly expressed. About the Role As a Staff Machine Learning Engineer, you will drive the design, development, and evolution of our end-to-end recommendation systems, placing AI/ML innovation at the core of our recommendation quality. This role encompasses the full lifecycle of recommendations from architecting sophisticated ranking, retrieval, and relevance models to scaling the robust systems that power Coupang’s recommendations. You will partner with global cross-functional teams to own the customer discovery journey, continuously elevating the user experience through rigorous experimentation and the deployment of high-impact algorithms. If you are passionate about leveraging massive, real-time datasets and millions of customer interactions to drive tangible business and customer impact, and you want to solve genuine customer challenges through innovative AI/ML technology, this role is a perfect match for you. Key Responsibilities Strongly own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly. Collaborate tightly with multiple global teams across the company to co-build a world class recommendation system Mine vast amount of data to gain insights from customer behavior Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models Mentor and grow engineers across the teams. Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or closely related fields. Proven ability to derive actionable insights from complex datasets and solve business-critical problems using advanced AI/ML technologies. Demonstrated experience as a domain technical leader, driving collaboration across teams to deliver large-scale, high-impact solutions. 5+ years of professional experience in applied AI/ML with large-scale, complex datasets to extract robust features and create reliable machine learning models. Fast paced self-learner with proven track record of launching successful algorithms that drive measurable business impact. Professional proficiency in Python and/or Java with relevant industry experience. Excellent communication skills with professional proficiency in English. Preferred Qualifications Ph.D. or Master degree inComputer Science, Electrical Engineering, Mathematics, Statistics or related science majors Experience with Recommendation or Search Systems Experience with LLMs, PLMs, and embedding models Experience with cloud platforms such as AWS, GCP including services like Vertex AI Industrial experience working with online serving system working at scale Excellent communicator with great listening skills, growth mindset and can-do attitude Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://www.coupang.jobs/en/privacy-policy/ Document Return Policy This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

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 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 The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you. What You Will do Design features and build large-scale machine learning models and systems to improve relevance, ranking, personalization and engagement Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 4 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master’s or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $152K/year to $277K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays 6 weeks Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. 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. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ 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 . Job Req: R0079629

Coupang is one of the largest and fastest growing e-commerce platforms on the planet. We are on a mission to revolutionize everyday lives for our customers, employees, and partners. We solve problems no one has solved before to create a world where people ask, “how did we ever live without Coupang?” Coupang is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley. We are on a mission to create a world without tradeoffs for our customers as we Aim High and Find a Way to Wow our Customers. We have been named one of the “50 Smartest Companies in the World” by MIT Technology Review and “30 Global Game Changers” by Forbes. Job Overview Search & Discovery is the most critical customer facing experience within Coupang, relevantly match-making the billions of products to customer intent. We are building the next-generation infrastructure to sustain the hypergrowth of the business for the coming years. We are looking for an experienced and passionate engineer leader that can drive this effort across the stack, including serving, pipelines, and machine learning. The desired candidate can dive deep into underlying components, design and optimize the stack end-to-end and be a role model for building high-quality machine learning systems and delivering results with grit. Key to this position’s success will require the ability to understand business needs and work backwards to develop technical solutions while working effectively with leaders of individual teams and align technical directions with key stakeholders. This role will involve working closely with Search senior leadership (VP, Sr. Directors) and will offer the autonomy to identify and solve key Search problems and explore innovations in various areas like deep learning and large language modeling, with a specific focus to improve search relevance and quality. Key Responsibilities Build end-end Search & Discovery systems and help design the next-generation AI products to support the business growth Have strong execution with the ability to drive key developments and overcome technical blockers Ensure solid ML design and operational excellence Be metrics driven and can identify big opportunities Build strong collaborations with partner teams Recruit and develop world-class talent Basic Qualifications 6+ years of industry experience in technology companies. Have a broad and deep understanding of key technology areas including information retrieval, deep learning, large language modeling, data processing, real-time serving. Solid track record of delivering large and complex systems with big business impacts. Strong design and problem-solving skills. Excellent communications and collaborations across teams and across functionalities. Preferred Qualification Working experiences on search and recommendations systems. Search relevance and query understanding Technical Lead or Manager of teams Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ 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 . Job Requisition ID : R0079238

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 팀 소개 쿠팡 Detection Operations 팀은 웹 보안, 네트워크 보안, 이메일 보안, 엔드포인트 보안 전반에 걸쳐보안 Appliance 장비, Endpoint 보안 솔루션, 그리고 다양한 SaaS 기반 보안 서비스를 운영 및 관리하고 있습니다. 우리는 쿠팡의 광범위한 Attack Surface 전반에서 발생하는 사이버 위협을 탐지하고 차단하여 보안 사고로 인한 피해를 최소화하는 동시에, 정확한 원인 분석을 통해 재발 방지 체계를 구축하는 핵심 역할을 수행하고 있습니다. Detection Ops 팀에 합류하시면, 웹, 네트워크, 엔드포인트, 이메일 보안 등 다양한 보안 영역을 아우르는 실무 경험을 쌓을 수 있으며 각 영역을 담당하는 여러 전문가들과의 긴밀한 협업을 통해 자연스럽게 보안 전반에 대한 시야와 전문성을 확장할 수 있습니다. 필요에 따라 특정 도메인에 국한되지 않고 여러 보안 솔루션과 서비스에 직접 참여하고 경험해볼 수 있는 기회가 열려 있습니다. 이를 통해 단일 기술에 국한되지 않은, 폭넓고 탄탄한 보안 운영 역량을 갖춘 엔지니어로 성장할 수 있는 환경을 제공합니다. 업무 내용 국내외 IDC /Office 네트워크 환경의 보안 가시성 확보를 위한 모니터링 계획, 운영, 개선 IDC/Office 내 보안 장비들에 대한 운영 및 자산 관리 IDC/Office 내 네트워크 장비에 대한 모니터링 정책 수립, 재해복구 계획 수립 및 이행 신규 프로젝트를 위한 보안 시스템 및 네트워크 환경 구축 벤더 및 파트너와의 협업을 통한 작업 계획 수립, 배정, 지시 및 프로젝트 리딩 SOP(Standard Operating Procedure ) 개발, 개선 및 문서화 운영 자동화 구현 및 효율화 신규 서비스/장비에 대한 P oC 수행, 비교 분석 및 결과 도출 보안 네트워크 가시성이 부족한 영역에 대한 모니터링 개선 보안 장비 로그 분석 및 리포트/대시보드 구현 유관 부서와의 원활한 커뮤니케이션 및 인시던트 대응 네트워크 문제의 근본 원인 분석 및 개선 조치 네트워크 모니터링을 위한 Usecase 및 Playbook 생성 자격 요건 컴퓨터공학, 정보보호, 전산학 등 관련 분야 학사 학위 이상을 보유하신 분 네트워크(L3, L4, L7) 및 보안 영역에 대한 깊은 이해를 바탕으로 10년 이상의 실무 경험을 보유하신 분 다양한 보안 솔루션(Firewall, IDS/IPS, WAF, SSLVA, NDR 등)의 구축 및 운영 경험을 보유하신 분 보안 로그 분석을 통해 위협을 식별하고 문제를 해결한 경험이 있으신 분 SIEM, NDR 등 보안 플랫폼을 활용한 모니터링 및 위협 탐지 경험이 있으신 분 보안 모니터링 체계 수립 및 보안 정책 운영 경험이 있으신 분 데이터 기반의 의사결정과 뛰어난 커뮤니케이션으로 다양한 이해관계자와 협업하실 수 있는 분 국내외 출장에 결격 사유가 없으신 분 우대 사항 보안, 네트워크, 시스템 분야의 전문 자격증(CCIE, CISSP, 정보보안기사 등)을 보유하신 분 데이터 기반 의사결정을 위해 SQL 및 데이터 분석 도구를 활용해보신 분 AWS, Azure, GCP 등 클라우드 환경에서 보안 아키텍처를 설계하거나 운영한 경험이 있으신 분 글로벌 환경에서 다양한 이해관계자와 협업한 경험이 있으신 분 OWASP, MITRE ATT&CK 등 보안 프레임워크에 대한 이해와 활용 경험이 있으신 분 영어를 활용한 업무 커뮤니케이션이 가능하신 분 Python, Go, JavaScript 등 프로그래밍 언어를 활용하여 보안 업무 자동화 또는 서비스 개발을 경험하신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 1차 면접 - 2차 면접 - 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 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. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

Description Company Introduction 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 ecommerce 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 Global Operations Automation and Robotics Technology (GO ART) is the Zero-One organization within Coupang chartered to design, build, and deploy the most advanced fulfillment and transportation automation and robotics solutions in the industry. We are transforming Coupang's logistics network through in-house robotics, computer vision, and AI — at a scale and speed unmatched in Asian e-commerce. The team is based in Mountain View, Seattle, and Seoul. We are seeking a Staff Robotics System Engineer to develop robust, high-performance autonomy software for real-world robotic systems. In this role, you will own the full-stack development and production deployment of autonomous robotics systems, bridging perception, planning/control, hardware, WMS, and enterprise workflows at scale. You will work closely with multidisciplinary teams spanning hardware, perception, plan & control, WMS, and product engineering to deploy robotic capabilities in industrial environments. The ideal candidate combines deep expertise in robotics algorithms with a systems-level mindset and hands-on experience taking solutions from prototype through validation and production deployment. Key Responsibilities Lead the architecture, design, and integration of full-stack robotics systems, coordinating across perception, planning/control, and hardware subsystems Define system requirements, interfaces, and data contracts between perception ML, Plan and Control teams; ensure seamless integration Own the design and implementation of control logic orchestration using Groot and ROS2, enabling flexible and maintainable behavior trees for robot autonomy Own the robotics software infrastructure including drivers, middleware (ROS/ROS2), simulation environments, and system-level tooling Own the integration of robotics systems with Coupang WMS and operational workflows; design APIs and data models to enable bidirectional communication Build and maintain production-quality robotics software. Develop simulation, testing, and validation workflows that assess safety, robustness, latency, repeatability, and task success across representative operating conditions. Lead system-level debugging and troubleshooting across hardware-software boundaries; drive root cause analysis when issues span multiple teams Own deployment pipelines, containerization, and edge compute optimization for production robotics systems Define system SLAs/SLOs (e.g., latency, throughput, availability, accuracy) and establish metrics to track performance against these targets Implement monitoring, observability, and alerting systems to track system health, bottlenecks, and SLO compliance across all subsystems Contribute to technical roadmaps, architecture decisions, code reviews, documentation, and engineering best practices. Mentor and provide technical guidance to junior and mid-level engineers; establish engineering best practices and standards Basic Qualifications B.S., M.S., or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. 8+ years of hands-on experience in robotics systems engineering, with demonstrated progression in scope and ownership Deep proficiency in Python for real-time and systems-level robotics development Proven track record of integrating hardware peripherals (cameras, sensors, PLCs, etc.) into production robotics systems Strong experience with ROS/ROS2 ecosystem including custom message types, services, nodes, and lifecycle management Experience integrating and debugging a full robotic system across software, sensors, actuators, middleware, simulation, and hardware. Real-world industrial robotics experience, including deploying, validating, or supporting robots in manufacturing, logistics, warehousing, inspection, service, or comparable operational environments. Strong analytical, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with edge AI inference pipelines and GPUs. Experience with development and deployment of AI Inference Servers, eg. Triton, vLLM. Expertise in modern GPU-accelerated planning, differentiable optimization, sampling-based planning, model predictive control (MPC), whole-body control, or real-time trajectory generation. Understanding of computer vision and perception system requirements (latency, accuracy, throughput) Familiarity with CI/CD systems and DevOps practices for robotics (e.g., Docker, containerized deployments) Experience in warehouse automation, industrial robotics, or logistics environments Experience with observability tools and frameworks (e.g., Prometheus, Grafana, ELK stack, distributed tracing) Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $164K/year to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Annual bonus is 0-20% of the base salary Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HAS) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV- [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale. Recruitment Process and Others Recruitment Process Application Review - Job Fit Interview - Focus Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ C oupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com .

회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 팀 소개 Detection Engineering(DE) 팀은 쿠팡 보안조직(Digital Trust) 내에서 보안 위협의 탐지와 대응 자동화를 엔드투엔드로 설계하고 구현하는 팀입니다. 위협 시나리오 정의부터 로그 수집, 탐지 룰 배포, AI 기반 자동 대응까지 전 주기를 한 팀에서 커버하며, Detection-as-Code 철학을 기반으로 모든 탐지 로직을 코드로 관리합니다. DE팀은 AI 기술을 각 도메인에 적극적으로 접목하고 있습니다. 대규모 보안 로그의 AI 기반 분석, LLM을 활용한 로그 정규화 및 커버리지 갭 분석 등, AI는 별도 기능이 아닌 팀 전체의 업무 방식에 내재되어 있습니다. 이 포지션은 DE팀의 Security Data Platform 축에 해당하며, 보안 탐지·분석·대응의 근간이 되는 데이터 인프라를 설계하고 구축하는 역할입니다. 전통적인 SIEM 운영을 넘어, 대규모 보안 로그를 실시간으로 수집·정규화·적재하고, 탐지 엔진과 AI/ML 모델이 최적의 데이터를 활용할 수 있는 플랫폼을 만드는 엔지니어링 역할입니다. 이런 분과 함께하고 싶습니다 데이터가 "정확하고 빠르게 흐르는 것"에 대한 집착이 있는 분 보안 도메인에 대한 호기심이 있고, 데이터 엔지니어링 역량으로 보안 문제를 해결하고자 하는 분 장애 상황에서 침착하게 원인을 추적하고, 근본적인 해결책을 찾는 분 AI와 자동화를 "나의 업무를 더 잘하기 위한 도구"로 자연스럽게 활용하는 분 비용과 성능의 균형을 항상 고민하는 분 업무 내용 보안 데이터 플랫폼(Data Lake/Warehouse) 아키텍처 설계 및 구축 — 탐지 엔진, AI/ML 모델, 분석가가 최적의 환경에서 데이터를 활용할 수 있도록 지원 Kubernetes, 서버, 클라우드, 네트워크 등 다양한 환경의 보안 로그 실시간 수집 아키텍처 설계 및 데이터 파이프라인(ETL/ELT) 구축 SIEM 플랫폼 운영 및 고도화 — 탐지 룰 실행 환경 안정성 확보, 인덱싱/검색 성능 최적화, 신규 로그 소스 온보딩 AI/ML 모델 활용에 적합한 데이터 스키마 설계, 데이터 모델링 및 Enrichment 파이프라인 구축 Detection-as-Code 프레임워크 구축 및 운영 — 탐지 룰의 코드 기반 관리, 테스트, 배포 파이프라인 대규모 데이터 플랫폼(SIEM, Data Warehouse)의 성능 최적화, 쿼리 튜닝, 안정성 및 비용 효율성 관리 로그 수집부터 적재까지 전 과정의 데이터 파이프라인 안정성 확보, 장애 대응 및 모니터링 체계 구축 AI/LLM을 활용한 로그 분석 자동화, 데이터 품질 관리, 커버리지 갭 분석 등 데이터 엔지니어링 업무의 고도화 자격 요건 대규모 데이터 엔지니어링 또는 백엔드 시스템 개발 경력 7년 이상 AWS 환경에서 대규모 데이터 파이프라인을 구축하고 운영해 본 경험 (Kafka, Kinesis, S3 등) Python을 활용한 데이터 처리 및 백엔드 개발 역량 보안 이벤트 및 로그의 구조와 흐름에 대한 이해 — 다양한 소스의 로그가 어떻게 생성되고 활용되는지 파악할 수 있는 역량 데이터 파이프라인의 장애 진단 및 안정성 확보에 대한 실무 경험 클라우드 인프라 환경에서의 아키텍처 설계 및 운영 경험 Git 기반 협업 및 CI/CD 파이프라인 운영 경험 우대 사항 클라우드 데이터 웨어하우스를 활용한 대규모 데이터 플랫폼 구축 및 운영 경험 데이터 변환/오케스트레이션 프레임워크(dbt, Airflow 등) 운영 경험 Detection-as-Code 철학에 대한 이해 및 관련 플랫폼 사용 또는 개발 경험 IaC(Terraform, CloudFormation 등)를 활용한 인프라 관리 경험 보안 데이터 모델링(OCSF, CIM 등)에 대한 이해 및 실무 적용 경험 SIEM 솔루션 구축 및 대규모 운영 경험 AI/LLM을 데이터 엔지니어링 업무에 활용한 경험 (로그 정규화, 스키마 자동 매핑, 커버리지 분석 등) Kubernetes 환경의 보안 로그 수집 아키텍처 설계 및 운영 경험 근무지: 쿠팡 서울 구의오피스 전형 절차 및 안내 사항 전형 절차 서류전형 - 화상기술면접 1차 - 화상기술면접 2차 – 최종 합격 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 고용형태는 정규직으로 수습기간 12 주를 포함 합니다 . 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다. 개인정보 처리방침 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy 서류 반환 정책 본 고지는 『채용절차의공정화에관한법률 』 제11조제6항에 따른 것 입니다. 당사 채용에 응시한 구직자 중 최종 합격이 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. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 ( recruitingops@coupang.com ) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.