TCGplayer

Build full-stack ecommerce experiences at eBay using React, Java/Spring Boot, Node.js, and cloud technologies. You’ll own features end to end while applying AI-assisted development, secure coding, and scalable data practices.

Lead the architecture and development of highly scalable Java software and SEO technologies supporting eBay’s global marketplace. This role combines technical leadership, cross-team collaboration, and search optimization for billions of requests.

eBay is hiring a Software Engineer 3 to build security solutions protecting ecommerce workflows from account takeover, phishing, malware, vulnerabilities, and high-risk transaction threats. The role combines secure backend development, threat detection, vulnerability management, and security monitoring.

Join eBay’s newly formed team building a cloud-native Authentication as a Service platform for Depop and future marketplaces. This senior backend role combines scalable service development with hands-on cloud infrastructure, deployment automation, and production reliability ownership.

Build and maintain software powering eBay’s trading card and collectibles marketplace, including seller portal features, APIs, background jobs, stream processing, and caching systems. This remote U.S. role covers the full feature lifecycle from design through deployment and production support.

Design and build scalable distributed software applications and payment-related platforms for eBay’s global commerce ecosystem. The role spans Java development, cloud-native tooling, performance and reliability improvements, and production support.

Build scalable backend services for eBay’s new Authentication as a Service platform while making automated testing a core part of development. This senior role combines Java-based backend engineering with unit, integration, API, and Cypress UI test automation.

Build large-scale backend systems that construct and integrate eBay’s Knowledge Graph, powering product search, recommendations, and selling experiences. The role combines technical leadership, graph-enabled data systems, and collaboration with applied science teams on ML and ranking applications.