Senior Staff Backend Engineer Fraud Detection

CompanyIntroduction

We exist to wow our customers. We know were 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 were 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 whats 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.

RoleOverview:

Coupangs Risk Fraud & Trust Engineering organization is building next-generation platforms that protect the marketplace ecosystem through intelligent scalable and real-time decisioning systems. The team develops highly scalable fraud detection and risk evaluation platforms that process massive volumes of transactions seller activities and marketplace events while ensuring excellent customer and seller experiences.

As a Senior Staff Engineer you will lead the architecture and development of large-scale ML-powered data platforms that bridge the gap between Data Science and Engineering. You will be responsible for building the infrastructure real-time data pipelines and serving systems required to deploy scale and operate machine learning models in production.

This role requires deep expertise in distributed systems stream processing data infrastructure and ML model operationalization. You will partner closely with Data Scientists Software Engineers Product Managers and business stakeholders to ensure fraud detection and risk models are efficiently deployed highly performant reliable and capable of meeting strict business SLAs.

You will establish technical vision drive architectural direction and raise engineering standards across the organization while enabling the next generation of fraud prevention and trust platforms at Coupang scale.

KeyResponsibilities:

• LeadthearchitecturedesignanddevelopmentofscalabledataandMLinfrastructuresupportingfrauddetectionriskevaluationandtrustsystems.
• Buildandoptimizelarge-scalebatchandreal-timedatapipelinescapableofprocessinghigh-volumeeventswithlowlatencyandhighreliability.
• Owntheend-to-endproductionizationofmachinelearningmodelsensuringdeploymentarchitecturesmeetperformancescalabilityandoperationalrequirements.
• PartnercloselywithDataScientistsandEngineeringteamstobridgemodeldevelopmentandproductiondeploymenttranslatingcomplexmodelingrequirementsintoscalableengineeringsolutions.
• Definelong-termtechnicalvisionandroadmapfordataprocessingMLplatformcapabilitiesandfrauddetectioninfrastructure.
• Leadcomplexcross-functionalinitiativesestablishengineeringbestpracticesandraisethebarforsystemscalabilityreliabilityandoperationalexcellence.
• Mentorseniorengineersdrivetechnicaldecision-makingandprovideleadershipduringcriticalproductionincidentsandarchitecturalreviews.

BasicQualifications

• 13yearsofexperienceinbackendengineeringdataengineeringorlarge-scaledistributedsystemsdevelopment
• Strongexperiencebuildinglarge-scalereal-timedistributeddataprocessingsystems
• Hands-onexperiencewithdatastreamingtechnologiessuchasApacheFlinkKafkaSparkStreamingorsimilarframeworks
• StrongproficiencyinJava-basedbackenddevelopmentanddistributedsystemarchitecture
• Experiencedesigningandbuildinglow-latencyhigh-throughputdatapipelinesandservingsystems
• Experiencedeployingscalingandoptimizingmachinelearningmodelsinproductionenvironments
• Strongknowledgeofsystemdesignscalabilityfaulttoleranceandoperationalexcellence

PreferredQualifications

• Experienceinfrauddetectionrisksystemstrust&safetypaymentsriskorsimilardomains
• Familiaritywithcommercemarketplacefintechorpaymentsecosystems
• ExperiencebuildingMLplatformsmodel-servinginfrastructurefeaturestoresorinferencepipelines
• Experienceoperatingsystemsthatprocessmillionsofeventsortransactionsperday
• ExperiencepartneringcloselywithDataScienceteamstoproductionizemachinelearningmodels
• FamiliaritywithleveragingGenAItoolsforsoftwaredevelopmentdebuggingtestingandengineeringproductivity
• Experienceworkingwithcloud-nativearchitecturescontainerizedenvironmentsandmoderninfrastructureplatforms

Typeofworkmodel

• Hybrid/Onsite/Remoteworking

OurHybridworkmodel:.

Detailstoconsider

• Thoseeligibleforemploymentprotection(recipientsofveteransbenefitsthedisabledetc.)mayreceivepreferentialtreatmentforemploymentinaccordancewithapplicablelaws.

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• YourpersonalinformationwillbecollectedandmanagedbyCoupangasstatedintheApplicationPrivacyNoticelocatedbelow. Experience:

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