
10,000+ employees
ποΈ eCommerce
πͺ Marketplace
π° $1.1G Post-IPO Debt - eBay on 2022-11
eCommerce β’ Marketplace
eBay is a global online marketplace that connects buyers and sellers through auctions and fixed-price listings. The platform hosts consumer-to-consumer and business-to-consumer transactions across a wide range of categories, including collectibles and live-streamed commerce (eBay Live). eBay runs promotional events and charity auctions, maintains a worldwide office footprint with hybrid work options, and emphasizes community and economic opportunity for its users.
π₯ 16 minutes ago
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10,000+ employees
ποΈ eCommerce
πͺ Marketplace
π° $1.1G Post-IPO Debt - eBay on 2022-11
eCommerce β’ Marketplace
eBay is a global online marketplace that connects buyers and sellers through auctions and fixed-price listings. The platform hosts consumer-to-consumer and business-to-consumer transactions across a wide range of categories, including collectibles and live-streamed commerce (eBay Live). eBay runs promotional events and charity auctions, maintains a worldwide office footprint with hybrid work options, and emphasizes community and economic opportunity for its users.
β’ Define technical requirements in partnership with product, business, and engineering stakeholders β’ Design, develop, and maintain Python-based applications & services that power core platform workflows β’ Build and integrate scalable APIs and microservices for internal and external consumers β’ Own backend system design for service reliability, scalability, maintainability, and operational excellence β’ Optimize performance using distributed technologies (e.g., caching, message queues, event-driven architectures) β’ Implement robust observability (logging, tracing, metrics), troubleshoot production issues, and improve system resiliency β’ Participate in code reviews as both a contributor and reviewer; contribute to engineering standards and best practices β’ Collaborate closely with development, QA, and business teams to deliver high-quality releases β’ Create and maintain system and technical documentation as needed β’ Leverage AI-powered development tools to improve productivity, code quality, and delivery speed β’ Build and productionalize LLM-enabled features (e.g., workflow automation, intelligent routing, summarization, extraction) β’ Design tool/function-calling services and orchestration layers for multi-step tasks β’ Implement RAG-style retrieval patterns (embeddings, vector search, ranking) where it improves reliability and accuracy β’ Develop evaluation and quality frameworks for AI outputs (offline evals, regression tests, safety/reliability checks) β’ Collaborate on responsible AI practices: guardrails, data handling, deterministic behaviors, and auditability
β’ BA/BS in Computer Science or a related field, or equivalent practical experience β’ 5+ years of professional Python development experience in production environments β’ Strong experience building asynchronous, API-driven microservices (e.g., FastAPI, asyncio) β’ Solid understanding of scalable backend architectures and service-to-service integrations β’ Experience with distributed systems patterns (queues, caching, pub/sub, background processing) β’ Strong understanding of REST APIs, authentication/authorization, and secure system design β’ Experience with CI/CD pipelines and containerized deployment workflows β’ Strong familiarity with Git and modern version control workflows β’ Excellent English communication skills, both written and verbal β’ Ability to work effectively in cross-functional, fast-paced environments
β’ Competitive compensation and comprehensive benefits β’ Medical, financial, and/or other benefits β’ 401(k) eligibility β’ Paid time off benefits such as PTO and parental leave
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