Staff Software Engineer, Marketing Tech

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:

eBay’s Advertising and Marketing Technology teams build platforms, services, and user experiences that help sellers and advertisers grow their businesses and bring new and existing customers to eBay.

As a Staff Software Engineer, you will work on high-scale systems spanning frontend applications, backend services, APIs, data pipelines, and AI-assisted engineering workflows. You will partner with product, design, analytics, and applied science teams to turn business problems into reliable, maintainable software with measurable customer and seller impact. You will guide technical decisions, mentor engineers, and take ownership of complex features from design through production in a fast-moving, collaborative environment.

What you will accomplish:

• Build advertising and marketing capabilities that help sellers and advertisers grow their businesses and improve the experience for eBay customers.
• Develop scalable, highly available applications, APIs, and services using technologies such as Marko, React, Node.js, Java, and Scala.
• Own the delivery of complex features from technical design and architecture through deployment, production support, and continuous improvement, with a focus on performance and quality.
• Guide system design and technical decisions across teams, evaluating tradeoffs and building agreement on scalable, reliable, and maintainable solutions.
• Use AI-assisted development tools throughout coding, debugging, testing, and code review to improve engineering productivity.
• Collaborate with machine learning engineers on AI-powered advertising and marketing features, including large language model (LLM) integrations, recommendation systems, and intelligent campaign optimization.
• Mentor team members, contribute to technical discussions, and help shape engineering best practices that support continuous learning, agile development, open-source collaboration, and rapid software delivery.

What you will bring:

• A bachelor’s degree in computer science or a related field plus at least 8 years of work experience, or a master’s degree plus at least 6 years of relevant experience.
• Strong experience with Java 17 or later and Spring Boot or similar frameworks, including building scalable backend systems and RESTful APIs in distributed environments.
• Experience with distributed systems, event-driven architectures, and message queues such as Kafka, RabbitMQ, or similar technologies.
• Experience with relational databases such as Oracle, PostgreSQL, or MySQL, or NoSQL databases such as Cassandra or MongoDB, including schema design and query optimization; familiarity with big data technologies such as Hadoop, Spark, or Flink.
• The ability to own end-to-end system design for multi-service features, write technical design documents, lead design reviews, and align teams on architectural decisions that balance scalability, consistency, availability, latency, and cost.
• Experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or equivalent tools. Experience building or integrating LLM-powered features, AI agent workflows, or AI-based automation in production systems is advantageous.
• Exposure to GraphQL and experience building federated GraphQL APIs are highly desirable. Contributions to open-source projects are a plus.

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.

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