Salesforce Field Services

HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J51730Job Title:Salesforce Field ServicesLocation:San Francisco, CADuration:12 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSalesforce Developer - Columbus, OHSalesforce Developer - St. Paul, MOSalesforce Developer - Reston, VASalesforce Architect - Sunnyvale, CASalesforce Developer - Dallas, TXWhat You'll DoCollaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiencesDevelop reusable software components for interfacing with back-end platformsLead complex technical or product efforts and provide technical guidance to peersAnalyze and optimize code for quality, efficiency, and performanceArchitect efficient and scalable systems that drive complex applicationsWork on a variety of coding languages and technologiesIdentify and resolve performance and scalability issuesDeliver robust, high-quality softwareMentor peers through code reviews, tech talks, architecture reviews, and pair-programming.Contribute to documentation, technical design proposals, coding standards, and platform lifecycle improvementsRequired Experience6+ years of professional programming experience building production mobile applications.Strong knowledge of Android Languages, frameworks and libraries (Kotlin, Java, Jetpack Compose, ViewModel, Room, WorkManager, Navigation, Lifecycle).Experience building maintainable and testable code bases, including API design and testing techniquesTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsProven ability to navigate large enterprise environments and partner across global time zonesA related technical degree requiredPreferred ExperiencePrior experience building applications for unreliable networks, and intermittent connectivity.Experience with full stack or iOS technologies.Exposure to enterprise mobility management (MDM), device policies, and authentication flows.Familiarity with accessibility requirements (WCAG), inclusive design, and ergonomics for frontline workers.Apply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.