At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re 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. We're 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.

Graduate SWE – Data Platforms

(Starting in September 2026, full time, salary of 50,500 for Bachelor's graduates or 58,500 for Master's graduates + additional benefits)

About the team and the role

The Cloud Data Technologies (CDT) organization builds and operates the core data infrastructure that powers eBay's global marketplace — from real-time product experiences to experimentation, analytics, and cloud storage at scale.

Within CDT, the Data Platforms team develops and operates the systems that enable large-scale data processing, experimentation, and analytics across eBay. These platforms support how data is ingested, processed, stored, and made available to engineering, product, and business teams globally.

As a Graduate Software Engineer, you will contribute to building scalable backend and distributed systems that support innovation across eBay's marketplace. You will work alongside experienced engineers to develop platform capabilities that improve reliability, performance, and scalability while gaining hands-on experience operating systems at global scale.

You will report to an Engineering Manager within CDT and collaborate closely with software engineers, platform teams, product partners, and data stakeholders in an environment that values curiosity, ownership, and continuous learning.

What you will accomplish

• Build and ship production-grade backend features that improve platform reliability and scalability
• Contribute to distributed systems that process and manage high-volume marketplace data
• Improve service performance, throughput, and operational efficiency
• Collaborate with cross-functional engineering and product partners to translate business needs into platform capabilities
• Strengthen observability and system quality through testing, monitoring, debugging, and automation
• Participate in the design, development, and operation of cloud-native platform services
• Develop strong distributed systems fundamentals through mentorship and increasing ownership of production systems

What you will bring

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (graduating in late 2025 or 2026)
• Strong foundation in Object-Oriented Programming and software engineering principles
• Proficiency in Java, Python, or C++
• Working knowledge of SQL and NoSQL databases
• Exposure to distributed systems, backend services, or cloud-native technologies
• Understanding of software development best practices, including testing and debugging
• Experience with Kafka, Kubernetes, cloud platforms, or data processing technologies is a plus
• Strong problem-solving skills and willingness to learn in a collaborative environment

Recruiting Process

• Coding Assessment
• Recruiter Zoom Interview
• Manager Zoom Interview
• Technical Interview
• Onsite Interview

#LI-RMB

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 talent@ebay.com. 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.

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.