Build high-throughput streaming systems as a Senior Java Engineer specializing in Apache Flink, working hybrid from downtown Toronto three days weekly.
This senior backend engineering role supports the Core Data Platform team in evolving real-time data architecture. You will develop stateful pipelines with Java DataStream and Table/SQL APIs, integrate Apache Kafka or AWS Kinesis, and deliver scalable event-driven solutions. The position focuses on production stream processing, reliability, and performance.
Key Responsibilities
Design and maintain production-grade stateful Flink applicationsArchitect event-driven systems using Kafka or KinesisOptimize clusters, memory settings, serializers, and RocksDB performanceManage checkpointing, savepoints,
and schema evolutionPartner with Data Science, DevOps, and Product teamsRequirements:
Five-plus years of qualified backend software engineering experienceTwo-plus years building production Apache Flink pipelinesMastery of Java 11/17+, concurrency, and memory managementStrong Apache Kafka and schema registry experienceUnderstanding of event time, watermarking, windows, and late dataApply senior Java, Apache Flink, Kafka, and distributed streaming expertise to Toronto’s Core Data Platform team.
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