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.
Join the team that builds and operates eBay’s core streaming and messaging infrastructure—technology that underpins mission-critical, high-scale applications across the company. You will help design and develop our streaming lakehouse storage system while supporting the reliability and performance of platforms used across eBay. This role combines engineering and operational ownership and collaborates with global teammates to deliver resilient, scalable distributed systems.
What you will accomplish:Build, operate, and continuously improve eBay’s messaging and streaming platforms to ensure reliability, scalability, and high performance.
Design and develop the streaming lakehouse storage system that supports large-scale data processing and analytics.
Reduce downtime by proactively identifying, troubleshooting, and resolving production issues.
Strengthen observability through improved monitoring, logging, and alerting systems.
Collaborate with global engineering partners to deliver resilient distributed systems.
Grow expertise in advanced streaming, storage, and distributed system technologies.
Strong foundation in computer science, including algorithms, operating systems, networking, and databases.
Proficiency in at least one programming language: Java, Rust, or C++.
Deep understanding of message middleware (e.g., Kafka, Pulsar, RocketMQ).
Familiarity with lakehouse table formats such as Apache Iceberg, Apache Paimon, or Apache Fluss.
Ability to work effectively within a global team environment.
(Nice to have) Experience designing and implementing distributed systems.
(Nice to have) Familiarity with storage engines such as RocksDB or LevelDB and database storage internals.
(Nice to have) Contributions to relevant open-source projects.
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