Cloud Data Technologies (CDT)
You’ll partner closely with product, infrastructure, and AI/ML engineering teams to design scalable, intelligent, and cost-efficient data systems that empower developers and analysts alike.
What you’ll accomplish
Lead the technical direction and architectural design for eBay’s next-generation data platform.
Design and build robust, distributed backend systems for data processing at global scale.
Optimize for high availability, performance, and cost-efficiency across real-time and batch data services.
Collaborate with cross-functional engineering teams to enable end-to-end data solutions for AI, search, trust, and marketplace insights.
Champion engineering excellence — code quality, automation, observability, and reliability.
Mentor engineers and contribute to an inclusive, high-performing engineering culture.
What you’ll bring
8 + years of experience in backend or distributed systems engineering (ideally in Data Platform or Infrastructure teams).
Strong proficiency in Java, Scala, or Go, with solid grounding in algorithms, data structures, and system design.
Deep understanding of distributed data systems — Kafka, Spark, Flink, HDFS, or similar frameworks.
Experience building and operating large-scale services on cloud platforms (AWS, GCP, Azure, or private cloud).
Familiarity with data governance, cataloging, and pipeline orchestration frameworks.
Ability to drive technical strategy in a complex, multi-stakeholder environment.
A collaborative mindset and strong communication skills — you thrive in diverse, cross-functional teams.
Location: Dublin, Ireland (Hybrid )
Hybrid Work Model: 3 days per week onsite in eBay’s Dublin office.
Travel: Occasional, for team collaboration and global summits.
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