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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.
Job Description
Are you 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 are 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.
About The Team
We are the Fashion Vertical Engineering team within eBay’s Global Focused Category Organization. Our work spans key surfaces of eBay—including the Homepage, Events, My eBay, Vertical Experiences, Growth Products, and other high-impact buyer engagement experiences. In addition, we drive zero-to-one initiatives that shape the future of personalized Fashion discovery, leveraging the latest AI technologies to transform the upper funnel shopping journey. You’ll be working with a world class team of engineers, scientists, designers, product managers, and analysts to create great products that make a difference on one of the world’s most visited and loved websites.
Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume, highly scalable and resilient distributed systems? We have a place for you!
About The Role
We are seeking a strong Backend Engineer to join the Fashion Vertical Engineering team, driving innovative AI-powered initiatives. In this role, you will design and own pipelines that integrate models developed by our scientists to deliver personalized shopping experiences for fashion enthusiasts. As a self-motivated and enthusiastic member of our team, you will work with extremely hardworking peers in a fun environment. You will work in an agile environment with a focus on problem solving and engineering perfection.
Job Responsibilities
- Translate requirements to software design and create clean, efficient, extensible, maintainable code.
- Responsible for subsytems within a large domain, possessing in-depth knowledge and expertise. Taking full responsibility for the entire software life cycle, including design, development, testing, deployment, observability and monitoring.
- Serve as a key player in influencing and guiding others towards the right technical decisions.
- Identifying areas of features likely to change and integrating flexibility in the design for these areas improving engineering velocity.
- Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles.
- Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery.
- Manage project features, break into sub-tasks, identify and resolve issues for efficient execution.
- Provide technical guidance, code review for immediate team and other teams, coaching, and mentorship to individual team members.
- Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution.
- Leads and improves E2E testing quality and increase delivery velocity across features.
- Lead engineering support, release, and on-call responsibilities for an ""always-on"" 24/7 site."
- 6+ years of experience in working in Java, GraphQL, Spring/Springboot, REST APIs, messaging systems and/or or other backend programming languages
- Building data-driven applications (RDBMS, NoSQL, ElasticSearch)
- Delivers results in fast-paced environments (agile, TDD, CI/CD)
- Excellent decision-making, communication and collaboration skills
- Strong sense of ownership and interpersonal skills to work effectively across teams
- Ability to think innovative and contribute to the success of the products, processes and customer experience
- Experience with ML/AI pipeline and recommendation system is a major plus but not required
- Bachelor's degree in EE, CS or other related field.
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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