Senior Python Engineer, AI

eBay

Senior Python Engineer at eBay developing scalable backend services for AI-driven marketplaces. Collaborating with cross-functional teams to enhance platform capabilities and performance.

Posted 7/28/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $118,800 - $205,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development, building scalable APIs and microservices, and implementing distributed systems patterns. Proficient in collaborating with cross-functional teams to enhance system reliability and performance while adhering to best practices in software engineering.

Highest-signal resume keywords

Python DevelopmentAPI-Driven MicroservicesDistributed Systems PatternsCI/CD PipelinesGit Version Control

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIAsynchronous ProgrammingREST APIsCachingMessage QueuesEvent-Driven ArchitecturesContainerized DeploymentObservabilityAI-Powered Development Tools

Soft Skills

Excellent Communication SkillsCross-Functional CollaborationProblem-Solving

Certifications & Qualifications

BA/BS in Computer Science

Industry Keywords

MicroservicesBackend ArchitectureService ReliabilitySystem ResiliencySecure System Design

Tech Stack

Tools & technologies

Distributed SystemsMicroservicesPython

About the role

Key responsibilities & impact

Define technical requirements in partnership with product, business, and engineering stakeholders
Design, develop, and maintain Python-based applications & services that power core platform workflows
Build and integrate scalable APIs and microservices for internal and external consumers
Own backend system design for service reliability, scalability, maintainability, and operational excellence
Optimize performance using distributed technologies (e.g., caching, message queues, event-driven architectures)
Implement robust observability (logging, tracing, metrics), troubleshoot production issues, and improve system resiliency
Participate in code reviews as both a contributor and reviewer; contribute to engineering standards and best practices
Collaborate closely with development, QA, and business teams to deliver high-quality releases
Create and maintain system and technical documentation as needed
Leverage AI-powered development tools to improve productivity, code quality, and delivery speed
Build and productionalize LLM-enabled features (e.g., workflow automation, intelligent routing, summarization, extraction)
Design tool/function-calling services and orchestration layers for multi-step tasks
Implement RAG-style retrieval patterns (embeddings, vector search, ranking) where it improves reliability and accuracy
Develop evaluation and quality frameworks for AI outputs (offline evals, regression tests, safety/reliability checks)
Collaborate on responsible AI practices: guardrails, data handling, deterministic behaviors, and auditability

Requirements

What you’ll need

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

Benefits

Comp & perks

Competitive compensation and comprehensive benefits
Medical, financial, and/or other benefits
401(k) eligibility
Paid time off benefits such as PTO and parental leave