Senior End-to-End Quality Engineer

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

Join eBays Customer Support Technology (CS Tech) organization to help build and scale the next generation of quality engineering practices across our customer support platforms.

As a Senior End-to-End Quality Engineer you will be responsible for validating complex business workflows spanning web applications APIs backend services enterprise integrations contact center platforms and AI-powered solutions. You will design scalable automation frameworks improve release quality and increase deployment confidence across critical customer-facing applications.

This is a hands-on engineering role with a strong focus on API integration regression and smoke automation while maintaining high-value UI automation for critical business journeys. You will work closely with Software Engineering Product Platform Engineering Infrastructure and AI teams to deliver reliable enterprise-scale solutions.

• Design develop and maintain scalable automation frameworks for UI API integration regression smoke and end-to-end testing.
• Build automation coverage for backend services enterprise APIs and cross-platform integration workflows.
• Validate critical customer support journeys across multiple systems including web applications backend services contact center platforms and third-party integrations.
• Integrate automated tests into CI/CD pipelines and release quality gates to improve deployment confidence.
• Lead end-to-end release validation for large-scale platform migrations and enterprise initiatives.
• Partner with Software Engineering Product Infrastructure Platform and QE teams to define test strategies early in the development lifecycle.
• Perform root cause analysis for production issues and troubleshoot failures across UI APIs services integrations and data layers.
• Improve automation reliability execution time maintainability and overall engineering efficiency through reusable frameworks and tooling.
• Support production deployments hypercare defect prevention and release readiness activities.
• Contribute to continuous improvements in quality engineering practices automation strategy and operational excellence.

• BS/MS in Computer Science Engineering or equivalent practical experience.
• 5 years of experience in Quality Engineering Test Automation SDET or Software Engineering with strong automation ownership.
• Strong programming experience in Java JavaScript TypeScript Python or similar languages.
• Strong experience in API automation integration testing backend validation and service-level regression testing.
• Experience building scalable UI automation for modern web applications.
• Experience developing automation frameworks and integrating them into CI/CD pipelines.
• Strong understanding of regression testing smoke testing integration testing release validation and end-to-end quality engineering.
• Strong debugging and troubleshooting skills across distributed systems APIs databases UI and integration layers.
• Experience working in Agile environments with Git-based development workflows and code reviews.

• Experience with Genesys Cloud CX contact center technologies or customer support platforms.
• Experience with Cyara automation for voice IVR and end-to-end contact center validation.
• Experience testing enterprise workflow orchestration and multi-system integrations.
• Familiarity with cloud-native technologies such as Kubernetes Docker and distributed microservices.
• Experience with observability platforms monitoring dashboards logging metrics and tracing tools.
• Experience performing non-functional testing performance validation and operational readiness testing.
• Experience using AI-powered development tools for automation code generation or productivity improvements.
• Experience testing AI-powered applications including Agentic AI workflows LLM integrations prompt engineering Retrieval-Augmented Generation (RAG) AI agents and enterprise AI solutions.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including 401(k) eligibility and various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired employees will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly please visit our Talent Privacy Notice Privacy Center and AI Hiring Guidelines.