Staff Software Engineer - Streaming

eBay • Austin, TX

13d

About The Position

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: At eBay, data flows swiftly within our marketplace — fueling countless real-time interactions among buyers and seller worldwide. To support this, our Rheos team (from the Ancient Greek for current, stream, or flow) provides the fully managed, continuously scaling stream processing and messaging data platform that enables near real-time buyer experiences, seller insights, and a data-driven commerce business. We are seeking an experienced Software Engineer with a strong background in streaming and messaging technologies, responsible for the design and development of the streaming lakehouse storage system. This role also involves development and operations of eBay’s messaging and streaming infrastructure to ensure our distributed systems are reliable, scalable, and high performing to serve as the backbone for eBay’s mission-critical applications.

Requirements

• Solid foundation in computer science, with knowledge of algorithm design, operating systems, computer networks, databases, and other related fundamentals.
• Proficiency in at least one programming language among Java, Rust, or C++.
• In-depth understanding of the implementation principles of message middleware such as Kafka, Pulsar, or RocketMQ.
• Familiarity with the design and implementation of Lakehouse table formats like Apache Iceberg, Apache Paimon, or Apache Fluss.
• Great teammate and able to work with a global team.

Nice To Haves

• Experience in designing and implementing distributed systems.
• Familiarity with the design and implementation of storage engines such as RocksDB or LevelDB.
• Understanding of the implementation principles of database storage systems.
• Contributions to relevant open-source projects.

Responsibilities

• Build, operate, and optimize eBay messaging and streaming platform, ensuring system reliability, scalability, and high performance.
• Troubleshoot and resolve production issues, ensuring minimal downtime.
• Maintain and improve system monitoring, logging, and alerting.
• Design and develop the streaming lakehouse storage system

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed