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About Team and Role:

The Payment Ops Tech team is looking for a Senior Engineer to drive the technical execution of eBay’s global Compliance Operations platform. This platform is the backbone of our regulatory strategy, powering critical systems for KYC, AML, Sanctions Screening, Product Safety & Tax compliance. In this role, you will take end-to-end ownership of major features—from initial design and prototyping to deployment and site-wide upgrades. You will build scalable, resilient distributed applications, while collaborating with AI teams to integrate ML models into production. As a key technical contributor, you will champion code quality through TDD and thoughtful code reviews, while mentoring junior developers to foster a culture of engineering excellence. If you are a seasoned Java expert who thrives on solving complex backend challenges and building secure, high-performance systems, we want to hear from you.

Responsibilities

• Own projects and major features end-to-end with minimal direction, from design through implementation, testing, deployment, and monitoring.
• Develop scalable and resilient distributed software applications, including APIs, event processing, and batch jobs.
• Write automated tests (unit, integration, and E2E) to ensure high code quality.
• Conceptualize and code innovative prototypes through continuous integration and delivery.
• Support software releases and site-wide upgrades to enforce security and latest patches.
• Review code and provide thoughtful feedback to ensure maintainable and consistent implementations.

Qualifications

• Master’s degree in Computer Science (or related) with 2+ years of experience; OR a Bachelor’s degree with 5+ years of relevant experience. (Educational background in Machine Learning is a plus).
• 5+ years of practical experience designing and developing distributed systems.
• Proficiency in Java 17+, Spring Framework, and Spring Boot.
• Solid understanding of Spring Batch, OOP, and Data Structures & Algorithms.
• Working knowledge of Microservices architecture and cloud-native design patterns.
• Proven experience in high-throughput Event Processing systems (Kafka, JMS, or MQ) and Relational/NoSQL databases.
• Proven experience building and maintaining RESTful APIs (Jersey, Spring MVC, etc.).
• 1–2 years of experience contributing to or integrating ML models into production.
• Active practitioner of Agile and DevOps practices, including CI/CD and TDD (JUnit, Mockito).
• Familiarity with Cloud infrastructure (AWS/Azure/GCP) and containerization.
• Experience supporting production systems, including incident response, troubleshooting, root cause analysis, and improving service reliability.
• Strong triaging skills for diagnosing, prioritizing, and coordinating resolution of production issues across distributed services.
• Experience mentoring junior developers and performing thorough code reviews.
• Strong communication skills to collaborate effectively with product and data science teams.

Additional Details

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 status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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