Staff Streaming/Messaging Infra Engineer

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.

• Architect & Scale Infrastructure: Design, build, and operate eBay’s core control plane and data plane for Apache Flink and Apache Kafka on multi-cluster Kubernetes environments across multiple DCs/AZs.
• Build Streaming Lakehouses: Lead the design and development of our real-time streaming lakehouse storage architecture, enabling low-latency analytical workloads at massive scale.
• Ensure Operational Excellence: Drive high availability, automated fault recovery, and zero-downtime operations for large-scale production streaming topologies.
• Enhance System Observability: Advance enterprise monitoring, distributed tracing, automated alerting, and failure-diagnosis tooling to maximize platform uptime.
• Collaborate Globally: Partner with cross-functional architecture and platform teams worldwide to shape the future of eBay's real-time data ecosystem.
• Demonstrated proficiency buildingproduction-grade software with AI coding agents, improving engineering velocity while maintaining high standards for quality, availability, and maintainability.
• Ability todecompose problems and provide agents with the right context, specifications, constraints, and validation criteria.
• Ability tocapture and express business, architecture, codebase, and operational knowledge so AI coding agents can execute complex tasks accurately and autonomously.
• Hands-on experience deliveringcomplex, production-quality software using AI coding tools such as Claude Code, Codex, etc.

• Core Distributed Systems Experience: Deep hands-on background in computer science fundamentals (data structures, concurrency, OS internals, and networking) with strong expertise in Java, Rust, or C++.
• Stream Processing Engine Expertise: Strong hands-on experience developing, tuning, and operating Apache Flink at scale (e.g., state backend management, checkpointing tuning, custom operators, Flink Kubernetes Operator).
• Distributed Messaging Deep-Dive: Proven experience with Apache Kafka (or Pulsar/RocketMQ), including core broker architecture, partition strategy, and control/data plane management.
• Container & Multi-Cluster Orchestration: Solid experience running high-throughput stateful workloads on Kubernetes across hybrid or private cloud environments.
• Streaming Lakehouse Knowledge: Familiarity with modern streaming table formats and storage engines such as Apache Paimon, Apache Iceberg, or Apache Fluss.

• Direct experience writing custom Kubernetes operators or control planes for distributed data systems.
• Deep knowledge of embedded storage engines (RocksDB, LevelDB) and memory management.
• Active contributions to open-source projects in the streaming ecosystem (e.g., Apache Flink, Apache Kafka, Apache Paimon).

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit ourTalent Privacy Notice, Privacy Center, and AI Hiring Guidelines.