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.
Who Are We?Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
The Search Engine Optimization (SEO) and Landing Page teams define and build features that optimize the way customers browse our inventory and help them easily find and reach relevant eBay pages when searching on search engines like Google, Bing, Yahoo, etc. With literally hundreds of millions of products listed on eBay globally at any time, the scale at which eBay has to consider search engine optimization puts our team in a unique position to innovate and provide immediate value to the business.
The SEO Landing Page Platform holds the buyer intent data definition for our category and model landing pages. These pages serve as important destinations for buyers who come from search engines like Google as well as those who are browsing the eBay site. The Linking Services connect those pages and enable them to show up in navigational elements like the breadcrumb and category navigation. The operational tools provide the interface for manual intervention and eventual automation of those operational tasks.
What Will You Do?We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
Design, implement, and maintain the linking graph database that tracks relationships between all SEO-managed pages
Optimize graph schema and data models for high performance on complex queries and large-scale datasets
Develop automated pipelines to ingest, normalize, and update page metadata and link relationships from multiple data sources
Build and maintain RESTful APIs or microservices that enable internal tools and dashboards to query the linking graph efficiently
Implement scalable indexing, caching, and partitioning strategies to support rapid traversal and analytics workloads
Write clean, well-documented code for ETL processes, data validations, and custom data processing tasks
Stay current with best practices and emerging tools in graph database technology (e.g., Neo4j, Amazon Neptune), recommending upgrades or migrations as appropriate
Architect and maintain scalable graph-database infrastructure to support dataset growth
Define and oversee health monitoring, maintenance routines, and troubleshooting workflows for high availability
Establish and enforce data-integrity frameworks—indexing, partitioning, and validation—to ensure accurate link relationships
Drive capacity planning and forecasting to guarantee seamless infrastructure scaling as usage increases
Lead software modernization efforts, including upgrades, migrations, and architectural enhancements, to sustain performance
Champion mentorship and onboarding, sharing best practices in graph modeling, coding standards, and SEO-focused engineering
Minimum Qualifications
Passion and commitment to technical excellence, with a focus on graph database solutions
B.Sc. or M.Sc. in Computer Science (or equivalent practical experience)
4+ years of software design and development experience, solving complex problems in backend services—preferably involving graph data models and pipelines
Strong fundamentals in Data Structures, Algorithms, Object-Oriented Programming, and Software Design, applied to graph-based architectures
Production-grade coding expertise in Java and Python/Scala, including integration with graph databases (e.g., Neo4j, Amazon Neptune)
Excellent verbal and written communication and collaboration skills
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.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
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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