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.
We are seeking an experienced Software Engineer with a strong background in streaming and messaging technologies such as Apache Kafka and Apache Flink, responsible for the development and operations of eBay’s messaging and streaming infrastructure which serves as the backbone for eBay’s mission-critical applications. This role combines system development, including platform features, automation, and tooling, with operations such as cluster management, performance tuning, and troubleshooting, to ensure our distributed systems are reliable, scalable, and high performing.Key Responsibilities
Build, operate, and optimize ebay messaging and streaming platform, ensuring ssytem reliability, scalability, and high performance.
Design and develop platform features and automation tools to improve reliability and developer productivity.
Troubleshoot and resolve production issues, ensuring minimal downtime. Maintain and improve system monitoring, logging, and alerting.
Document system design, operational runbooks, and best practices.
Requirements
Master's degree in computer science or elated field.
Proficiency in Java, with good understanding of common design patterns.
Solid experience with streaming and messaging technologies like Apache Kafka, Apache Flink and Apache Pulsar.
Strong problem-solving skills and ability to troubleshoot production issues, experience with monitoring and observability tools like Grafana, Prometheus, ELK, etc.. Experience with Kafka and Flink cluster operations is a big plus.
Strong knowledge of Kubernetes and containerized environments;
Familiarity with databases like Oracle, MySQL, Redis.
Good understanding of distributed system design: high availability, scalability, fault tolerance.
Excellent communication and teamwork skills.
