Requirements

Proficiency in Java, with experience in building scalable backend systems using Spring or equivalent frameworks.
Strong understanding of distributed systems, microservices architecture, and experience deploying services using Kubernetes and Docker.
Familiarity with full web stack development, including HTML, JavaScript, and HTTP protocols.
Experience with high-volume data processing technologies such as Kafka, Spark, Flink, or Hadoop in real-time or batch pipelines.
Clear, inclusive communication skills and a collaborative mindset.
A platform mindset focused on performance, reliability, and building reusable, sustainable systems.

Nice to Have

Experience working in an e-commerce environment or with competitive product data.
Prior contributions to self-service platforms, developer-facing tools, or automation systems.

Deliver distributed systems that process diverse external signals at scale, fueling decision-making across eBay.
Design and evolve self-service frameworks that allow teams to manage their own data strategies with speed and accuracy.
Collaborate across product, analytics, and engineering to understand requirements and deliver effective platform capabilities.
Improve system architecture and operational performance through technical innovation and thoughtful design.
Foster a collaborative engineering culture grounded in quality, learning, and shared ownership.
Contribute to the platform’s long-term evolution and technical roadmap.

Opportunity to work on a critical platform that impacts multiple business areas
Room for technical ownership and long-term architecture influence
Exposure to sophisticated data engineering, distributed systems, and platform product thinking