Position Description
Position Title - IT Software Engineer
Job Location - Chicago, IL, USA
Bill Rate Range - $75 to 80/ hr
Estimated Duration (In Months) - 13
Work Model - Hybrid
Must have Skills/Attributes - A/B testing, API, AWS, Data Analysis, GitHub
Shift - Monday thru Friday: 1st shift
EducationโRequired
โข BachelorโsโdegreeโinโComputerโScience,โInformationโTechnology,โorโaโrelatedโfield.
EducationโPreferred:โ
โข MasterโsโdegreeโinโComputerโScienceโorโaโrelatedโfield.
RequiredโSkillsโ
โข 10+โyearsโofโtotalโsoftwareโengineeringโexperience.
โข 7+โyearsโofโspecificโexperienceโinโsearchโengineering.
โข 3+โyearsโinโaโtechnicalโleadershipโroleโ(mentoring,โguiding,โorโleadingโteams).
โข SearchโTechnologies:โStrongโexpertiseโinโmodernโsearchโframeworks;โmustโhaveโstrongโproductโexperienceโwithโCoveoโORโVertexโAIโSearchโ(specificallyโVertexโAIโSearchโforโCommerce).
โข Cloudโ&โInfrastructure:โDeepโknowledgeโofโcloudโplatformsโ(AWS,โAzure,โGoogleโCloud).โMustโhaveโexperienceโbuildingโlow-latencyโAPIsโinโAWSโusingโmemory-storageโsolutions.
โข DevelopmentโTools:โAdvancedโexperienceโwithโversionโcontrolโ(e.g.,โGitHub).
โข Methodologies:โFamiliarityโwithโA/BโtestingโframeworksโandโoperatingโwithinโanโAgileโ/โglobalโteamโenvironment.
โข Workingโexperienceโwithโheavyโequipmentโengineeringโorโdataโanalysis.
โข Mustโdemonstrateโstrongโinitiative,โexcellentโinterpersonalโskills,โandโtheโabilityโtoโcommunicateโeffectivelyโwithโcross-functionalโteams.
Disqualifiersโ(RedโFlags):
โข Currentโlocationโmissingโfromโtheโresumeโ(auto-disqualify).
โข Choppyโtenureโorโconsistentโjob-hopping.
โข Candidatesโopenโtoโrelocatingโatโtheirโownโexpenseโmustโexplicitlyโstateโthatโonโtheโresumeโ(butโtheyโwillโnotโbeโshortlistedโinitiallyโforโWorkโDirectorโreviewโunlessโabsolutelyโexceptional).
JobโResponsibilities
o Defineโandโimplementโaโlong-termโtechnicalโroadmapโforโtheโsearchโplatformโtoโensureโscalabilityโandโadaptabilityโtoโgrowingโdataโvolumesโandโqueryโcomplexity.
o Mentorโandโguideโaโteamโofโsearchโengineersโthroughโtechnicalโreviews,โenforcingโbestโpractices,โandโfacilitatingโcollaborativeโproblem-solving.
o Introduceโcutting-edgeโcapabilitiesโsuchโasโNLPโ(NaturalโLanguageโProcessing),โvectorโsearch,โandโpersonalizationโtoโenhanceโsearchโrelevanceโandโaccuracy.
o BuildโsearchโcapabilitiesโwithโmeasurableโKPIsโ(e.g.,โClick-ThroughโRateโ(CTR),โQueryโDistribution,โandโZeroโSearchโrates).
o Leverageโanalyticsโandโdataโinsightsโtoโcontinuouslyโmonitorโandโimproveโsearchโperformance.
o PartnerโcloselyโwithโProductโManagers,โDataโScientists,โandโotherโengineeringโteamsโtoโalignโallโsearchโinitiativesโwithโoverarchingโbusinessโobjectivesโandโgrowthโstrategies.