Staff Software Engineer

Ebay Bekijk Alle Vacatures
Krimpen aan den IJssel, Netherlands
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Big Data Distributed Systems Apache Hadoop NoSQL Query Optimization Queueing Systems RabbitMQ Large Language Models Apache Spark Spring-boot
+7 more
Backend Event Driven Architecture Apache Flink Apache Kafka Free and Open-Source Software Graphql Restful APIs

Requirements

BS/BA in Computer Science or a related field plus 10+ years of experience, or an MS plus 8+ years of relevant experience. Strong experience in Java (17+) and building services with Spring Boot or similar frameworks, along with a track record of building scalable backend systems and RESTful APIs. Experience with distributed systems, event-driven architectures, and message queues such as Kafka, RabbitMQ, or similar technologies. Experience working with relational and/or NoSQL databases, including schema design and query optimization; familiarity with big data technologies such as Hadoop, Spark, or Flink is valuable. Proven ability to lead end-to-end system design, write technical design documents, guide design reviews, and evaluate tradeoffs across scalability, availability, latency, and cost. Experience with AI-assisted development practices and tools; exposure to GraphQL, federated APIs, LLM-powered features, agentic workflows, or open-source contributions is a plus.

About the company

eBay Bekijk alle vacatures

  • Amsterdam, Noord-Holland
  • Vast
  • Voltijds

  • 13 uren geleden

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 Join eBay’s Advertising and Marketing Technology teams and help build the platforms, services, and user experiences that support sellers and advertisers in growing their business. This role sits within a high-scale engineering environment spanning frontend applications, backend services, APIs, data pipelines, and AI-assisted engineering workflows. You will partner closely with product, design, analytics, and applied science teams to turn business problems into reliable, maintainable software that delivers measurable customer and seller impact. This is a strong fit for an engineer who enjoys solving practical engineering problems in a fast-moving environment, making sound technical tradeoffs, and taking ownership from design through production. What you will accomplish Build innovative advertising and marketing technology capabilities that help eBay sellers and advertisers grow their business and strengthen eBay’s customer experience. Develop scalable, highly available applications, APIs, and services across modern frontend and backend technologies including Marko, React, Node.js, Java, and Scala. Own end-to-end delivery of complex features, from technical design and architecture through deployment, production support, and continuous improvement. Drive technical decisions and system design in partnership with cross-functional teams to deliver scalable, reliable, and maintainable solutions. Use AI-assisted development tools to improve engineering velocity across coding, debugging, testing, and code review, while partnering with ML engineers on AI-powered marketing and advertising capabilities. Contribute to a culture of continuous learning, agile delivery, technical excellence, and mentoring across the engineering organization.

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Good distractions

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