Mobile-first fashion resale marketplace with community-driven buying and selling
Poshmark operates a mobile commerce platform built on iOS and Android (Swift, Kotlin, Java) where the core tension is scaling transactional infrastructure. The tech stack reveals a mature operational posture: AWS security primitives (WAF, GuardDuty, CloudTrail, Macie, Network Firewall), identity management (Okta, IAM), and backend orchestration (NetSuite, Workday, Boomi). Active projects span real-time data pipelines, fraud detection, and ML productionization—all pointing to data quality and system stability as ongoing constraints. Engineering-heavy hiring (48 of 71 roles) skews senior and staff-level, suggesting architectural scaling work rather than pure feature velocity.
Poshmark is a fashion resale marketplace operating a mobile-native social commerce experience where users buy and sell apparel and accessories. The platform operates at scale: real-time transaction processing, handling terabytes of data daily, and supporting millions of concurrent marketplace participants. Operationally, the company runs dual engineering centers in the United States and India, with active infrastructure modernization and fraud-prevention systems. Revenue flows from transaction volume rather than direct seller subscription, with earnings distribution to seller community as a core value proposition.
Mobile-first: iOS (Swift, Objective-C, Xcode) and Android (Kotlin, Java, Android Studio). Backend: AWS (with WAF, GuardDuty, CloudTrail, Macie, Network Firewall), REST APIs, SQL. Enterprise systems: NetSuite, Salesforce, Workday, Boomi integration platform.
Core projects include real-time and batch data pipelines, fraud detection, iOS app development, personalization, infrastructure improvements, and ML model productionization. Challenges center on scaling transaction systems and data pipeline stability.
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