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.
About the team and the role:
The eBay Ads team sits at the core of eBay’s monetization and discovery ecosystem, enabling sellers to reach buyers through relevant, high‑quality advertising experiences. The team designs and operates large-scale, low-latency, highly available distributed systems that power ad targeting, ranking, delivery, and reporting, processing billions of signals and requests every day.
In this role, you will build and evolve backend services that shape how millions of users discover products and how sellers grow their businesses. You will collaborate closely with product managers, data scientists, and ML engineers to create intelligent, data-driven advertising solutions. This role offers the opportunity to influence technical decisions, own key components across the full software lifecycle, and contribute to a purpose-driven, inclusive, and learning-focused team culture at the intersection of commerce, data, and machine learning.
What you will accomplish:Design and implement scalable backend services for ad serving, targeting, ranking, and reporting that directly impact how buyers discover items and how sellers grow their business.
Translate product and business requirements into clean, efficient, and maintainable software, ensuring features are testable, observable, and ready for production at scale.
Own critical components of the Ads platform end to end—from design and development through deployment, monitoring, and ongoing operations—to ensure high availability and reliability.
Improve system performance and quality by identifying gaps and bottlenecks, proposing pragmatic solutions, and contributing to the long-term engineering roadmap.
Collaborate with teammates and cross-functional partners through code reviews, technical discussions, and knowledge sharing, helping establish and elevate best engineering practices.
Mentor and support other engineers, and continuously evolve the platform to support new Ads use cases, experimentation, and data-driven decision making.
Bachelor’s degree in Computer Science, Engineering, or a related field, and experience (typically 2+ years) building backend services in Java, C++, or a similar programming language.
Hands-on experience with modern service development, including REST APIs or GraphQL, frameworks such as Spring/Spring Boot, and messaging systems like Kafka or RabbitMQ.
Experience building data-driven applications using technologies such as relational databases (RDBMS), NoSQL stores, and/or search systems like Elasticsearch.
Familiarity with event-driven architectures, distributed systems concepts, and working in fast-paced environments that use Agile practices, TDD, and CI/CD.
A collaborative, ownership-driven mindset with strong communication and decision-making skills, and the ability to work effectively across teams and disciplines.
Curiosity and a learning mindset, with interest in Ads systems, data platforms, or ML-powered products, and the ability to apply transferable skills across domains.
Additional Details
The base pay range for this position is expected in the range below:
C$118,000 - C$157,500Base 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 RRSP eligibility, 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.
This job posting relates to an existing vacancy within 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, 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.
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