
10,000+ employees
đď¸ eCommerce
đŞ Marketplace
đ° $1.1G Post-IPO Debt - eBay on 2022-11
eCommerce ⢠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.
đ July 28
đ California â Remote
đľ $118.8k - $205.6k / year
â° Full Time
đ Senior
đ Backend Engineer
đť Ghost score 23%
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10,000+ employees
đď¸ eCommerce
đŞ Marketplace
đ° $1.1G Post-IPO Debt - eBay on 2022-11
eCommerce ⢠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.
⢠Define technical requirements with product, business, and engineering stakeholders ⢠Design, develop, and maintain Python-based applications and services powering core platform workflows ⢠Build and integrate scalable APIs and microservices for internal and external consumers ⢠Own backend system design for reliability, scalability, maintainability, and operational excellence ⢠Optimize performance using caching, message queues, and event-driven architectures ⢠Implement logging, tracing, and metrics; troubleshoot production issues and improve system resiliency ⢠Participate in code reviews and contribute to engineering standards and best practices ⢠Collaborate with development, QA, and business teams to deliver high-quality releases ⢠Create and maintain system and technical documentation ⢠Leverage AI-powered development tools to improve productivity, code quality, and delivery speed ⢠Build and productionalize LLM-enabled features such as workflow automation, intelligent routing, summarization, and extraction ⢠Design tool/function-calling services and orchestration layers for multi-step tasks ⢠Implement RAG retrieval patterns using embeddings, vector search, and ranking ⢠Develop evaluation and quality frameworks for AI outputs, including offline evaluations, regression tests, and safety/reliability checks ⢠Collaborate on responsible AI practices, including guardrails, data handling, deterministic behaviors, and auditability
⢠BA/BS in Computer Science or a related field, or equivalent practical experience ⢠5+ years of professional Python development experience in production environments ⢠Strong experience building asynchronous, API-driven microservices (e.g., FastAPI, asyncio) ⢠Solid understanding of scalable backend architectures and service-to-service integrations ⢠Experience with distributed systems patterns (queues, caching, pub/sub, background processing) ⢠Strong understanding of REST APIs, authentication/authorization, and secure system design ⢠Experience with CI/CD pipelines and containerized deployment workflows ⢠Strong familiarity with Git and modern version control workflows ⢠Excellent English communication skills, both written and verbal ⢠Ability to work effectively in cross-functional, fast-paced environments ⢠Remote roles are not eligible for U.S. visa sponsorship ⢠Preferred: Experience integrating LLM APIs in production and building robust, testable AI-enabled services ⢠Preferred: Familiarity with prompt design, structured outputs, tool/function calling, and conversation/workflow state management ⢠Preferred: Experience with embeddings, vector databases, retrieval pipelines, and/or ranking approaches ⢠Preferred: Experience building AI evaluation harnesses (golden datasets, regression testing, quality metrics) ⢠Preferred: Exposure to ML concepts relevant to applied product systems (classification, extraction, ranking, personalization) ⢠Preferred: Experience with real-time or conversational interfaces and streaming systems ⢠Preferred: Proficiency in Spanish or other major marketplace languages ⢠Preferred: Experience supporting high-traffic, consumer-facing applications
⢠Competitive compensation ⢠Target bonus ⢠Restricted stock units (as applicable) ⢠Medical benefits ⢠Financial benefits ⢠Other benefits ⢠401(k) eligibility ⢠Paid time off (PTO) ⢠Parental leave ⢠Comprehensive benefits ⢠Accommodation support for disabilities
Apply Nowđ July 28
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