Senior Staff Backend Engineer - AI Workspace
Senior Staff Backend Engineer - AI Workspace
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Job Description
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. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity Coupang has broken tradeoffs around speed selection and price.
Today we provide exceedingly fast shipping speeds on millions of items including fresh groceries delivered within hours nationwide 365 days a year. We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.
Coupang 2020weplacedsecondonCNBCsDisruptor50list.
The AI Workspace Software Engineering team builds and maintains the foundational infrastructure and developer tools that power the AI lifecycle. Our responsibilities include a robust Resource Manager and a suite of AI development tools such as Workflow Orchestration Model Insights Model Registry and moreenabling customers to seamlessly create manage and monitor their AI workloads.
We are looking for an experienced Senior Staff Software Engineer to help architect and scale mission-critical systems that support intelligent workload management resource optimization and operational this role you will work across key components of our platform driving innovation in workload orchestration model tracking and resource governance. Your contributions will ensure our customers have a reliable intuitive and efficient environment for building and deploying AI solutions at scale.
WhatYouWillDo
AsaSeniorStaffSoftwareEngineer you will partner with leaders of multiple platform teams. You will work closely with the product team to define and implement simple solutions of complex infrastructure problems while ensuring to build a highly scalable reliable and efficient platform for our customers.
You will technically guide teams working on full stack development teams using JAVA AWS Kafka Kubernetes Kubeflow Argo CD and gRPC. You will be accountable for hiring and developing technical leaders and top talent raising the bar on engineering and operational excellence.
Inthisroleyouwill:
- Leadthedesignofscalableevent-drivenmicroservicesforoptimizedresourcemanagement.
- Designandimplementthedevelopmentofanext-generationResourceManagerandAIdevelopertoolsenablingefficientsecureandpolicy-compliantdataaccessacrosshybridenvironments.
- Ensurereliabilityobservabilityandperformanceofbackendsystemsthroughrigoroustestingandmonitoring.
- MentorjuniorengineersandcontributetoarchitecturaldecisionsthatshapethefutureofAIinfrastructure.
- Hands-ondevelopcriticalinfrastructurecomponents.
- Decomposecomplexproblemsintosimplestraightforwardsolutionsprovidingmechanismsfortheteamstoprioritizeruthlesslyandmovewithurgency.
- EnvisionroadmapsforthescalableandrobustgrowthofWorkspaceinfrastructure.
- .
- Demonstrateexcellenceresultinginscalablesystemsandserviceswiththehighestqualityarchitectureanddesign.
- DivedeepintocriticalsystemissuesproactivelyaddressingsimilarrootcausesandraisethebaronOperationalExcellence.
- CollaboratewithotherCoupangtechleaderstomaketheserviceextensibletounlockopportunitiesforinnovations.
Qualifications
- Bachelorsdegreeincomputerscienceorrelatedtechnicalfields.
- 13yearsprofessionalsoftwaredevelopmentexperience
- Trackrecordofbuildingmulti-tenantfinancial-gradecloudinfrastructureatscale.
- Expertiseinstreamprocessingdistributedstatefulservicesimmutabledatamodels.
- ExperiencewithtechnologieslikeRedisKafkaworkfloworchestrationmodelinsightsandstoragesystems.
- Strongcommunicationskillswithabilitytoinfluenceorg-widetechnicaldecisions.
- Hands-onexperienceindesigninganddevelopinglargescaledistributedsysteminthelast4years.
- OnewhoisfluentinoneormoreamongJavaGoandPython.
- Proventrackrecordofdeliveringmissioncriticalsystems.
- Experiencedevelopingandgrowingseniorindividualcontributorsglobally.
- ExperiencewithcloudcomputingusingAWSorAzureorGCP.
- ExperiencedinMachinelearningjobdeploymentinfrastructurelikeArgoCDworkflow.
PreferredQualifications
- ExperienceinKubernetesgRPCSpring.
- ExperienceinAImodellifecycle.
- DeepexpertiseinJavaSpringBootHibernateandRESTfulAPIdesign.
- Understandingdatagovernancecomplianceandaccesscontrolindistributedsystems.
- ExperiencewithKubernetesDockerandcontainerorchestrationinproductionenvironments.
- Experienceinconcurrencymulti-threadingsynchronizationandnon-blockingIO.
- DeepunderstandingofoperatingsystemkernelanddistributedsystemsuchasKafkaCassandraClickHouseandMongoDB.
- ExperienceintegratingwithAI/MLframeworksorpipelines().
- Experiencewithobservabilitytools().
- Familiaritywithcloudplatforms(AWSGCPAzure)andcloud-nativedevelopmentpractices.
Required Experience:
Staff IC
Employment Type
Full-Time
