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Coupang
Actively Hiring165 open positions matching criteria
Senior Staff / Staff Machine Learning Engineer
zz-Evergreen Requisition
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. Role Overview At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, AI agents, LLMs, AIGC, ML, NLP, CV and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, AI agents, NLP, LLM, AIGC, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/AIGC/ML/LLM/RL/Knowledge Graph technologies. What You Will Do Work on GenAI, AI agents' systems to solve complex eCommerce scenarios. Develop large language and vision understanding/generation models for predictive and compound AI Models Train foundational models that can help with building learning systems. Define process and experiments for an E2E foundation model. Build E2E AI pipelines for storing/servicing foundational models. Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models. Ensure Model training is security, compliance aware. Collaborate with cross-team members to understand the requirements ensuring the foundational models; knowledge captured aligns with the company’s overall AI strategy. Basic Qualifications 5+ years of d emonstrated data science, experience in building large scale foundational models for eCommerce scenarios. Expertise in large language model post-training and deployment. Deep understanding of AI/LLM /AIGC /ML architecture. Strong statistical/mathematical background in defining metrics, learning functions, and result analysis. Significant experience in SQL, Python, P ySpark , Scala and R Proficiency in P yTorch / TensorFlow, Spark, BigQuery Proficiency in AI coding Cursor/Windsurf/Claude Code/Codex. Experience creating complex data visualization tools, frameworks, and techniques. Experience in dimension reduction in big data. Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines] Experience with inference platforms in AWS, Azure, and other open-source platforms. Result-oriented, with a bias towards customer obsession, flexibility, and impact. Strong written and verbal communication and teamwork skills Passion for Large language models, NLP, and Machine Learning at scale Education: B.S, M.S in Computer science or Mathematics, or related field 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. 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. Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/
View more...Senior Staff/Staff Machine Learning Engineer
zz-Evergreen Requisition
Senior Staff/Staff Machine Learning Engineer-BJ/SH 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 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 sped we have been at 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. As a Senior Staff Machine Learning Engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang’s product search and discovery quality. You will spearhead the integration of Large Language Models (LLMs) and Generative AI to revolutionize our core search pipeline—including query understanding, product understanding, semantic retrieval, and final-stage ranking. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning, or natural language processing. The ideal candidates are pragmatic, resourceful, embrace seemingly impossible challenges, and have a proven track record of deploying high-scale, low-latency AI solutions in production. What You Will Do System Diagnostics: Root cause the bottlenecks of the current search and recommendation systems and quantify the defects across the entire search funnel (query rewriting/ retrieval/ranking). State-of-the-Art Solutions : Propose and architect end-to-end solutions that leverage advanced ML, DL, and Generative AI/LLMs to upgrade traditional search components into AI-native architectures. Core Funnel Optimization with LLMs : Query Understanding : Build next-generation query understanding services (intent detection, query rewrite, semantic expansion, entity extraction) utilizing fine-tuned LLMs. Candidate Retrieval : Design and scale semantic/dense retrieval systems, combining traditional vector search (ANN) with generative retrieval techniques. Ranking & Reranking : Develop and optimize LLM-based listwise/pairwise reranking models, and tackle performance trade-offs (latency, cost, throughput) for real-time serving. Production & Evaluation : Implement solutions, optimize offline/online inference performance (using model distillation, quantization, vLLM/TensorRT), and conduct rigorous A/B tests. Technical Leadership : Be a thought leader, mentor senior engineers, and gain consensus across cross-functional organizations (Infrastructure, Platform, Product) to drive the search AI roadmap. Example Projects Include LLM-Powered Query Understanding : We train and fine-tune in-house LLMs to perform multi-task query tagging, real-time query rewriting/expansion, and precise intent categorization. Generative & Semantic Retrieval : We use deep representation learning, two-tower models, and LLM-generated semantic embeddings combined with vector databases (e.g., Milvus, Vespa) for hyper-accurate candidate retrieval. LLM Reranking & Distillation : We explore listwise and pairwise LLM reranking models to evaluate query-item relevance, while distilling their reasoning capabilities into smaller, sub-millisecond models for real-time serving. Deep Conversion & Personalization : We build Deep Learning-based conversion prediction models ($CVR$) incorporating real-time user state, query intent, and multi-modal product representations. Graph-based Relationships : We leverage graph neural networks (GNNs) and knowledge graphs to ground our LLMs, exploring latent relationships between query sessions and catalog documents. Basic Qualifications 10+ years of professional experience in related fields including Search, Information Retrieval, RecSys, ML, DL, or NLP. Solid software engineering foundation with proficient coding skills in Python, C++, or Java. Distributed Systems Experience : Proven experience handling large data volumes, training large-scale models, and serving high-QPS pipelines in distributed environments (e.g., Spark, Ray, Kubernetes). Pragmatic Problem Solver : Demonstrated ability to take ambiguous business problems, formulate them mathematically, and deliver production-grade ML solutions. Education : Master’s Degree in Computer Science, Data Science, or related engineering fields. Preferred Qualifications LLM & GenAI Expertise : Deep hands-on experience in fine-tuning (SFT, LoRA), aligning (RLHF/DPO), or distilling LLMs specifically for search, recommendation, or NLP tasks (e.g., query expansion, dense retrieval, reranking). 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. 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/
View more...Description 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 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 at 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. Role Overview: We are looking for talented people who want to help shape the future of the e-commerce markets of Korea and Asia! One of Korea’s largest innovative and independent e-commerce firms, Coupang has revolutionised Korean customers’ shopping experience through a constant series of innovation. With more than 12 million customers making about 200 million purchases from Coupang, we are seeing billions of hits every year. Coupang is engaged in a fierce competition in Korea’s e-commerce sector, which accounts for about $60 billion of the country’s $342 billion distribution market. Recording an average of 15-20% growth, we are on track to become a $130 billion worth firm by 2020. In your role as the software development manager (SDM), you will be leading a team of best-in-class engineers dedicated to projects aimed at enhancing customer experience. Make the best use of your technical expertise and HR management skills to create a team of smart and curious troubleshooters. What You Will Do : As a SDM, you will also lead the future of a system that can fulfill computing needs based on a distributed system, high scalability, low latency and high availability. Your other duties will include standardising processes, tracking indices, and providing feedback regarding the system domains. As an engineering leader, you will be expected to demonstrate technical leadership that can help solve complicated issues and achieve a balance between strategies and tactics. To fulfill the role of a SDM successfully, you need to take a customer-centered approach, delving into what delivery features they want, and an excellent technical vision that will help attract the best engineers. You will also be required to have the ability to motivate and guide your team of engineers to develop their careers and grow professionally. As the SDM, you will: manage an agile team of professional developers dedicated to building a scalable, stable, and manageable system; recruit and hire developers to in line with the team’s goals; assist each team member with career-building through 1:1 evaluation and counseling sessions; define the system architecture with other developers; understand and prioritise requirements; collaborate with product owners and stakeholders to establish a roadmap and execute plans; define, measure, and report indices; Support the team’s software implementation and operation; lead improvements in development and management support; lead standardisation of and improvements in business processes. Basic Qualifications: more than 10 years’ software development more than 4 years’ software development management and architecture-related duties good verbal and written communication; proven technical leadership agile software methodology Preferred Qualifications : excellent practical skills and expertise; implementation and operation of large-scale, highly-scalable web service launching of product on time in a dynamic environment prioritisation of tasks in an ever-changing environment and the corresponding capabilities Type of Work Model : Hybrid - Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work. Details to Consider : 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/ Equal Opportunities for All : Coupang is an equal opportunity employer and is committed to equal opportunity regardless of color, ancestry, religion, sex, nation origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
View more...Sr. Director, Back-End Engineering
Tech Infrastructure
Job Description – Sr. Director, TestOps Coupang operates a large distributed technology ecosystem where changes must be validated quickly, safely, and repeatedly across infrastructure and application boundaries. We are seeking a Director, TestOps to build and lead testing as a platform capability. This leader will own test automation, test environments and data, integration testing, resilience validation, quality signals, and AI-assisted testing. The mission is to move testing from a manual phase owned independently by teams into an automated, federated, and measurable platform that enables safe continuous delivery. We are looking for a visionary quality-platform leader who has previously built and scaled comparable TestOps, test infrastructure, or continuous-quality systems in a leading global technology company. Key Responsibilities Set a bold vision for testing as a company-wide platform capability and translate that vision into an executable roadmap adopted across infrastructure and domain organizations. Define and execute the TestOps strategy across Tech Infrastructure and partner engineering organizations. Build a federated testing platform that supports infrastructure, platform, API, UI, integration, resilience, and release validation. Create repeatable test capabilities for Unified Staging and production-like environments. Partner with Developer Platform, SRE, Observability, Security, and domain teams to embed quality gates into delivery workflows. Own testing metrics including coverage, pass rate, escaped defects, flaky tests, execution time, environment readiness, and release confidence. Drive adoption through product management, customer enablement, documentation, office hours, and clear service-level objectives. Test Platform & Automation Build self-service test planning, execution, orchestration, reporting, and evidence-management capabilities. Automate UI, API, service integration, infrastructure integration, and end-to-end test execution. Provide reusable test harnesses, reference applications, simulators, mocks, and service-virtualization capabilities. Integrate TestOps with CI/CD, Global CD, Application Registry, observability, and release governance. Create quality gates that are risk-aware, fast, deterministic, and appropriate to service tiers. Reduce flaky tests, duplicated frameworks, manual validation, and fragmented tooling. Unified Staging, Test Data & Resilience Validation Use Unified Staging as the default environment for validating Tech Infrastructure components and domain applications. Build compliant, desensitized, production-like test data generation and lifecycle management. Enable integration testing across identity, mesh, networking, databases, queues, storage, observability, and application dependencies. Partner with SRE to automate fault injection, DR scenarios, failover validation, load testing, and reliability certification. Ensure validation evidence can feed release decisions, RBD/RBO certification, and executive reliability metrics. AI-Assisted Testing Build AI-assisted capabilities for feature test-plan generation, test-case generation, test-data generation, execution, failure analysis, and defect triage. Establish evaluation, safety, and quality mechanisms for AI-generated tests and recommendations. Use production telemetry and incident learnings to continuously improve test coverage and prioritize high-risk scenarios. Automate quality insights and next-best-action recommendations for engineers and release owners. Talent Leadership & Organization Lead managers, technical leads, and senior engineers across test platform, automation, and quality engineering. Own organization design, hiring, leadership development, and succession planning. Build a strong engineering culture focused on platform products rather than manual test execution. Develop leaders who can independently own federation, test infrastructure, AI TestOps, and resilience validation. Attract engineers with deep test infrastructure, distributed systems, developer tooling, and automation expertise. Technical Leadership & Architecture Own architecture for test orchestration, environment integration, test data, result storage, quality signals, and release gating. Define company standards for test APIs, frameworks, evidence, coverage, flakiness, and service-tier validation. Influence platform architecture to improve testability, observability, fault isolation, and safe deployment. Align test strategy with the broader observability and AIOps architecture so pre-release and post-release quality signals reinforce one another. Execution & Impact Deliver measurable reductions in manual testing, execution time, escaped defects, flaky tests, and release-related incidents. Increase automated integration and resilience validation across Tier 0, Tier 1, and Tech Infrastructure services. Improve release confidence and developer productivity through reliable self-service testing. Establish strong execution mechanisms, customer feedback loops, and objective quarterly targets. Essential Qualifications Leadership experience in a best-in-class test infrastructure, developer productivity, continuous delivery, or reliability engineering organization at hyperscaler, global consumer platform, or similarly scaled technology company. Experience with Kubernetes, cloud-native testing, service mesh, fault injection, or chaos engineering. Experience building AI-assisted test generation or failure-analysis systems. Experience with load testing, DR validation, release certification, or production-readiness programs. 12+ years of experience in software engineering, test infrastructure, developer productivity, quality engineering, or platform engineering. 5+ years leading engineering teams and managers in a large-scale technology environment. Recognized as a strong technology and organizational leader with the ability to define a differentiated quality engineering vision, attract exceptional talent, and influence senior stakeholders. Demonstrated experience personally leading the architecture, build-out, launch, and scaled adoption of a TestOps, test infrastructure, continuous-quality, or release-validation platform. Experience building test automation or testing platforms for distributed systems and continuous delivery. Deep understanding of CI/CD, test environments, test data, integration testing, reliability testing, and quality metrics. Experience driving cross-organizational adoption of common platforms and standards. Strong technical judgment, customer focus, and ability to translate strategy into measurable delivery.
View more...Sr. Director, Back-End Engineering
Tech Infrastructure
Sr. Director, Site Reliability Engineering Coupang operates one of the largest and most complex technology platforms in the world. We are seeking a Senior Director, Site Reliability Engineering (Head of SRE) to define and lead company-wide reliability, resilience, scalability, and operational excellence. This leader will transform reliability from a collection of team-specific practices into platform mechanisms that services inherit by tier, while advancing incident response toward an intelligent, AI-assisted, and increasingly autonomous operating model. We are looking for a visionary, industry-recognized technology leader who has previously conceived, built, and scaled a comparable SRE, production engineering, resilience, or autonomous-operations organization at a leading global technology company. The successful candidate must combine deep technical credibility with the organizational leadership required to align executives, influence architecture across the company, and build a world-class leadership bench. Key Responsibilities Set a bold, multi-year vision for company-wide reliability, resilience, and autonomous operations, and translate that vision into an executable roadmap with measurable business outcomes. Define and own the SRE strategy, operating model, engineering standards, and reliability governance across Coupang. Build platform mechanisms that allow services to inherit reliability requirements based on service tier rather than recreate them independently. Lead initiatives that materially improve availability, resilience, scalability, performance, and operational readiness. Partner with engineering, product, infrastructure, security, finance, and business leaders to align reliability investments with customer and business priorities. Own executive reliability metrics, including availability, detection and recovery performance, change risk, incident recurrence, capacity readiness, and operational toil. Build and scale a world-class SRE organization capable of influencing engineering practices across the company. Reliability Strategy, SLOs & Engineering Governance Establish and evolve service-tier definitions, SLOs, SLAs, error budgets, reliability scorecards, and objective certification mechanisms such as RBD/RBO. Create clear reliability requirements for Tier 0, Tier 1, and Tier 2 services, including redundancy, load testing, disaster recovery, observability, and incident response. Ensure reliability governance is embedded in architecture, development, release, and production operations rather than applied as a final review. Drive systematic reduction of recurring incidents, reliability risks, operational debt, and unsafe change patterns. Influence company-wide architecture for graceful degradation, fault isolation, load shedding, circuit breaking, and failure containment. Incident Management & Autonomous Operations Transform incident management into a fast, disciplined, data-driven, and increasingly autonomous operating model. Enable AI-assisted detection, event correlation, triage, escalation, root-cause drafting, remediation recommendations, and selected guardrailed auto-remediation. Improve incident command, on-call quality, escalation mechanisms, communication, post-incident learning, and corrective-action completion. Reduce noisy alerts, manual on-call work, repeated diagnosis, and time spent coordinating across fragmented systems. Use incident and telemetry data to continuously improve platform standards, testing, capacity models, and engineering roadmaps. Disaster Recovery, Resilience & Capacity Own the strategy and execution model for disaster recovery, regional resilience, availability-zone loss, capacity-constrained recovery, and critical business continuity. Build reusable DR and failover mechanisms that services inherit from the platform rather than implement as bespoke projects. Establish objective RPO/RTO targets, automated readiness gates, regular game days, fault injection, and evidence-based recovery certification. Drive proactive and intelligent capacity management using forecasting, reservations, workload prioritization, and automated response to demand and failure scenarios. Partner with compute, traffic, networking, storage, and application leaders to enable safe zone evacuation, regional failover, and surge readiness. Observability, Testing & Reliability Intelligence Partner with Observability and TestOps leaders to integrate logs, metrics, traces, continuous profiling, testing, and incident intelligence into one reliability feedback loop. Ensure every critical service has actionable telemetry, meaningful SLOs, release-quality signals, and production-readiness evidence. Use production incidents and operational patterns to drive targeted integration, load, resilience, and regression testing. Establish executive reliability dashboards that provide trusted views of service health, risk, capacity, and operational effectiveness. Talent Leadership & Organization Lead multiple layers of SRE leaders, including senior managers, directors, principal engineers, and senior individual contributors. Own organizational design, global hiring strategy, leadership development, succession planning, and the creation of a strong leadership bench. Attract exceptional SRE, distributed systems, resilience, incident-management, and capacity-engineering talent from best-in-class technology organizations. Build an empowered organization with clear accountability, strong technical judgment, high execution velocity, and a company-wide perspective. Act as a force multiplier by mentoring technical and organizational leaders and raising reliability capabilities across engineering. Technical Leadership & Architecture Own reliability architecture decisions across large-scale distributed systems and cloud-native infrastructure. Define resilient patterns for redundancy, failover, traffic management, data recovery, workload prioritization, and dependency isolation. Guide architecture reviews and platform standards for safe scaling, fault tolerance, and operational simplicity. Balance availability, customer impact, engineering velocity, cost, and operational complexity in major technical decisions. Maintain sufficient technical depth to challenge assumptions, guide principal engineers, and make high-quality decisions during critical incidents. Execution & Impact Deliver measurable improvements in availability, time to detect, time to mitigate, time to recover, incident recurrence, change-failure rate, and on-call burden. Create disciplined operating rhythms, milestones, ownership models, and quarterly targets for strategic reliability programs. Increase adoption of common reliability mechanisms and reduce team-specific implementations and manual operations. Demonstrate business impact through improved customer experience, reduced outage exposure, stronger peak readiness, and more efficient use of infrastructure capacity. Build credibility through predictable delivery, transparent risk management, and objective evidence of reliability improvement. Essential Qualifications Leadership experience in a best-in-class SRE, production engineering, infrastructure reliability, or cloud operations organization at hyperscaler, major cloud provider, global marketplace, leading fintech, or similarly scaled technology company. Experience building an SRE practice comparable in maturity to leading industry organizations, rather than operating a traditional support or operations function renamed as SRE. Experience with Kubernetes, service mesh, cloud-native platforms, traffic engineering, and large-scale capacity management. Experience with chaos engineering, fault injection, regional resilience, and automated disaster recovery. Experience building AI-assisted operations, incident intelligence, predictive reliability, or self-healing systems. 15+ years of experience in software engineering, infrastructure engineering, distributed systems, or site reliability engineering. 8+ years leading large-scale, multi-layer engineering organizations, including senior managers, directors, and senior individual contributors. Demonstrated experience personally defining the vision and leading the architecture, build-out, launch, and scaled adoption of a company-wide SRE, reliability, resilience, or autonomous-operations program. Prior experience building reliability systems and operating practices for high-scale, high-availability, customer-critical distributed systems. Deep expertise in SLOs, error budgets, observability, incident management, disaster recovery, capacity planning, and resilience engineering. Proven ability to lead through major incidents while also creating durable mechanisms that prevent recurrence. Recognized as a visionary technology and organizational leader who can influence executive stakeholders, align multiple engineering organizations, and attract exceptional talent. Proven ability to convert long-term strategy into measurable execution and company-wide adoption.
View more...Sr. Security Engineer
Global Security
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 We are seeking a highly skilled Senior Security Engineer with 5+ years of hands-on experience in Identity and Access Management (IAM) to design, build, and optimize our enterprise identity infrastructure. In this role, you will lead the implementation and daily administration of key IAM, IGA, and continuous authorization frameworks using Okta, Saviynt, and SGNL. The ideal candidate thrives in a technical, execution-heavy environment, bridges traditional IAM with modern Zero Trust / Continuous Adaptive Trust models, and brings deep technical proficiency in automation, API integrations, and access governance. What You Will Do As a Senior Security Engineer, you will serve as a subject matter expert in securing identities across our cloud and hybrid environments. You will be directly responsible for architecting, deploying, and maintaining our IAM ecosystem—focusing on Identity Governance and Administration (IGA) via Saviynt , Workforce Identity/SSO/MFA via Okta , and Just-In-Time/Continuous Authorization policies via SGNL . This is a heavily hands-on position requiring technical leadership, API-driven integration work, and practical engineering expertise. Identity Infrastructure Engineering: Architect, deploy, and maintain robust enterprise identity solutions across Okta (Workforce Identity Cloud), Saviynt (IGA), and SGNL (CA / Dynamic Access). Identity Governance & Lifecycle Management: Configure and optimize Saviynt for access requests, dynamic role-based access control (RBAC/ABAC), access certification campaigns, and automated provisioning/deprovisioning workflows. Modern Authentication & SSO: Manage and secure Okta configurations, including SAML 2.0, OIDC, adaptive MFA policies, passwordless authentication, and Directory Integrations (Active Directory/LDAP/HRIS). Fine-Grained & Continuous Authorization: Operationalize SGNL to enforce Zero Trust access, Just-In-Time (JIT) access, and continuous, event-driven authorization policies across enterprise applications and services. API & System Integrations: Develop custom connectors, workflows, and automated pipeline scripts (Python, PowerShell, REST APIs) to integrate target applications into Saviynt and Okta. Incident Response & Threat Mitigation: Collaborate with SOC and Incident Response teams to investigate identity-related threats, privileged access abuses, and anomalous login behavior. Compliance & Audit: Partner with Security Compliance to enforce least-privilege principles, generate audit-ready reporting, and remediate identity risk findings. Basic Qualifications 5+ years of direct, hands-on experience in information security with a primary focus on Identity and Access Management (IAM). Deep technical expertise in Okta , including Lifecycle Management (LCM), Universal Directory, Workflows, Adaptive MFA, and SSO integrations. Proven hands-on administration of Saviynt Enterprise IGA , including analytics, connector deployment, lifecycle workflows, and access request configuration. Experience with modern continuous authorization architectures , specifically hands-on exposure to SGNL or similar fine-grained, policy-based access control platforms (CA/ABAC/ReBAC). Strong understanding of core identity standards and protocols: OAuth 2.0, OIDC, SAML 2.0, SCIM, and LDAP . Proficient in scripting and automation using Python, PowerShell, or Bash , alongside strong REST API integration capabilities. Solid grasp of Zero Trust Security frameworks and Least Privilege Access models. Preferred Qualifications Experience with Privileged Access Management (PAM) integrations (e.g., CyberArk, BeyondTrust). Relevant industry certifications such as Okta Certified Professional/Administrator/Consultant , Saviynt Certified Professional , CISSP , or CISM . Background in cloud identity security (AWS IAM, Azure AD / Microsoft Entra ID, GCP IAM). Type of work model Hybrid Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work. Details to consider 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://privacy.coupang.com/en/land/jobs/
View more...Sr. Security Engineer (Detection Ops-Email)
Security & Privacy and Data Governance
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 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 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 Ops 팀 은 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 이메일 보안 관련 인프라 설계 및 구현 진행 이메일 보안 솔루션 운영 및 모니터링 피싱, 스팸, 악성파일이 포함된 이메일 기반 공격 식별 및 대응 이메일 보안 솔루션 테스트, 도입 및 결과보고 이메일 관련 탐지 정책 개발 및 Playbook 수립 이메일 보안 리뷰, 절차/가이드라인 수립 및 지속 유지 관리 이메일 관련 보안 사고 발생 시 신속한 대응과, 보고 및 피해 최소화를 위한 조치 수행 피싱 모의 훈련 진행, 트렌드 확인 및 보고서 작성 최신 이메일 보안 기술 및 동향 연구 및 시스템 적용 업무 외 시간의 사고 및 이슈에 대비한 On-call 자격 요건 관련 총 경력 5년 이상, 이메일 보안 시스템 및 솔루션 운영 경험 3년 이상 우대 이메일 보안 서비스 운영 경험 이메일 보안 정책 설정 및 절차 수립 경험 피싱 모의 훈련 진행 경험 SPF, DKIM, DMARC 등의 이메일 인증 기술에 대한 이해와 실무 경험 이메일 헤더 분석, 위협 분석 및 대응에 대한 경험과 능력 이메일 트래픽 관련 지식 보유 및 보안 정책 및 절차 수립 경험 각종 악성 파일, 피싱 웹사이트 등 분석 경험 네트워크 보안 및 시스템 보안에 대한 기본적인 지식 보유 뛰어난 분석기술 및 문제해결 능력 보유 데이터와 통찰력을 근거로 사람들을 설득하고 공감대를 형성해갈 수 있는 뛰어난 의사소통 능력 보유 컴퓨터 혹은 사이버보안관련 학사학위 취득자 또는 동등한 수준의 실무 경험 보유 우대 사항 자동화 및 스크립트(Python, Go, Linux shell, Powershell 등) 개발 경험 사이버 보안 관련 자격증 (예: CISSP, 정보처리기사, 정보보안기사 등) SQL 쿼리, 데이터 시각화 등 데이터 분석관련 업무 지식(Splunk, ELK Stack) 클라우드 플랫폼(예: AWS, Azure, GCP) 관련 지식 OWASP, MITRE ATT&CK 관련 지식 또는 적용 경험 On-premise , Cloud환경(AWS, Azure, GCP등 ) 기본적인 지식 보유 전형 절차 및 안내 사항 전형 절차 서류전형 - 화상면접 1/2차 – 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.
View more...IP Operations Shift Manager Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview The IP Operations Team serves as a strategic firewall dedicated to preserving brand integrity and marketplace trust. We execute a dual-layered approach of proactive defense and forensic verification, including IP Monitoring to remove counterfeits and Seller Gating to vet distribution channels. Our team also manages high-stakes Appeals and IPR enforcement, conducting forensic audits of supply chain documentation to resolve disputes and mitigate legal risks. As an IPO Shift Manager , you will be responsible for the daily execution of our Intellectual Property protection mission. Reporting to the IPO Manager, you will lead a team of agents in a fast-paced, shift-based environment. Your goal is to ensure that every ticket—whether it is a counterfeit detection, seller gating review, or IPR report—is handled with precision, speed, and in full compliance with Coupang’s standards. You are a coach, a people manager, and an operational expert. What will you do? People & Performance Management: Lead, mentor, and manage the daily performance of a team of agents. Conduct regular 1-on-1s, identify performance gaps, and provide real-time coaching to improve accuracy and productivity. Shift & Resource Governance: Manage shift schedules to ensure 24/7 operational coverage, including holiday planning and emergency backup coordination. Monitor real-time ticket queues to balance workload effectively across the team. Quality & SLA Oversight: Ensure the team consistently meets or exceeds Service Level Agreements (SLA). Conduct primary spot checks on high-risk cases (Seller Gating and Appeals) to ensure agents are following forensic protocols. Escalation Handling: Act as the first point of escalation for complex cases. Support agents in making "tough calls" regarding inventory deactivation or seller rejections. Process Feedback Loop: Identify recurring operational bottlenecks and provide feedback to the L5 Manager and Policy teams to refine Standard Operating Procedures (SOPs). Essential Qualifications Experience: Minimum 2–3 years of experience in people management or team leadership within a contact center, shared service, or high-volume operations environment. Industry Knowledge: Basic understanding of Intellectual Property Rights (IPR), e-commerce compliance, or risk management. Leadership: Proven ability to motivate a team and manage performance through data-driven coaching. Communication: Ability to translate complex instructions into clear, actionable tasks for agents. Analytical Skills: Proficiency in using Office Automation (OA) tools and Excel to track team metrics and generate shift reports. Resilience: Comfortable working in a high-pressure, fast-paced environment with the flexibility to support rotating shifts if required . Extra Qualifications (Preferred) Forensic Mindset: Experience in document verification, fraud detection, or anti-money laundering (AML) is a strong plus. Technical Savvy: Familiarity with SQL or data visualization tools (PowerBI/Tableau) to assist in identifying team performance trends. Continuous Improvement: Experience with Six Sigma, Lean, or other process improvement methodologies. Language: English or Korean speaking ability is a strong plus for cross-regional collaboration. 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. Things 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.
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