Global e-commerce marketplace connecting millions of buyers and sellers across 190+ markets
eBay operates a massive, multi-region marketplace with a tech stack spanning Java, Node.js, .NET, Python, and ML frameworks (TensorFlow, Keras), supported by Kafka, Hadoop, and Apache Flink for data pipelines. Active projects center on live commerce, search modernization, shipping infrastructure, and seller acquisition—reflecting a shift toward real-time selling experiences and operational efficiency. The hiring mix skews heavily toward engineering (313 roles) and product (147), with senior-level dominance, while slowing velocity suggests consolidation after growth phases.
Notable leadership hires: Category Lead, Product Director, Payments Director, Director of Engineering, Consignment Director
eBay operates a marketplace platform connecting sellers and buyers across more than 190 markets globally. The platform spans e-commerce transaction infrastructure, live shopping features, search and discovery, payments, and logistics. Engineering and product dominate the organization, supported by data, sales, and operations teams distributed across 19 countries including the US, UK, India, Japan, and South Korea. Core challenges include AI compliance, data platform scalability, technical debt, payments experience, and seller acquisition—typical of a legacy-scale marketplace managing both innovation and reliability.
Java, Node.js, .NET, Python, and C++ for core systems; Kafka, Hadoop, and Apache Flink for data pipelines; React and Angular for frontend; TensorFlow and Keras for ML; Oracle and SAP for enterprise systems.
Live commerce and live shopping platforms, search platform modernization, real-time data pipelines, next-generation shipping infrastructure, seller acquisition, and API development—alongside AI ethics and compliance initiatives.
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