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Tier-1 brand and metro location but highly specialized streaming platform role reduces applicant density.
Highly specialized streaming and platform expertise limits transferability across non-streaming industries.
Requires deep, mandatory expertise in Flink, Kafka, Kubernetes, and distributed systems at staff seniority.
Own the architecture, building, and operation of eBay’s core streaming platform control plane and data plane using Apache Flink and Apache Kafka across multi-cluster Kubernetes environments.
Lead the design and development of real-time streaming lakehouse storage architecture for low-latency, large-scale analytical workloads.
Drive high availability, automated fault recovery, zero-downtime operations, and enhance system observability including monitoring and alerting for large-scale production streaming topologies.
Strong expertise in Java, Rust, or C++ and deep understanding of distributed systems fundamentals (data structures, concurrency, OS internals, networking).
Hands-on experience with Apache Flink production development, tuning, and operation at scale, including checkpointing and Flink Kubernetes Operator.
Proven experience with Apache Kafka (or similar like Pulsar/RocketMQ), including broker architecture and control/data plane management.
Experience running high-throughput stateful streaming workloads on Kubernetes across multi-cluster or private cloud infrastructures. Work Experience Required: Not explicitly mentioned in the JD.
Technical leader with deep practical experience in distributed streaming systems spanning Flink and Kafka at scale in production environments.
Experienced architect capable of designing multi-cluster, high-availability streaming platforms and evolving streaming lakehouse storage systems.
Familiar with modern streaming table formats/storage engines (e.g., Apache Paimon, Apache Iceberg) and comfortable working with containerized, multi-cluster Kubernetes infrastructure.