Senior Event-Driven Developer (Apache Kafka) at Convex Tech Inc. | Torre

Senior Event-Driven Developer (Apache Kafka)

You will lead real-time data streaming, designing robust event-driven architectures with Kafka and IBM Event Streams.
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Freelance
Recurrent
Compensation is to be agreed upon.
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Remote (anywhere)
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Emma of Torre.ai
1 day ago

Requirements and responsibilities


We are seeking a seasoned Senior Event-Driven Developer to lead the design, implementation, and optimization of our real-time data streaming platform. In this role, you will develop robust streaming pipelines, ensure high-throughput and low-latency data delivery, and migrate/integrate legacy systems into a modern event-driven architecture.The ideal candidate is a core Apache Kafka expert with deep, hands-on experience utilizing IBM Event Streams (IBM's enterprise-grade Kafka distribution) to build scalable, secure, and resilient enterprise solutions.Key ResponsibilitiesDevelopmentDesign & Build: Develop and maintain high-performance, distributed event-driven applications and microservices using Apache Kafka and IBM Event Streams.Schema Management: Implement and enforce data governance using Avro, JSON Schema, or Protobuf via the IBM Event Streams Schema Registry.Stream Processing: Build real-time stream processing applications using Kafka Streams, KSQL, or IBM Event Processing.Required Technical Skills & QualificationsCore Streaming: Deep expertise in Apache Kafka (Producers, Consumers, Broker internals, Kafka Connect, Kafka Streams).IBM Ecosystem: Proven experience deploying and managing IBM Event Streams (on-prem, Cloud Pak for Integration, or IBM Cloud).Programming: Strong proficiency in Java, Scala, Go, or Python (Java/JVM preferred for Kafka ecosystem).Data & Serialization: Experience with Avro, JSON, and managing enterprise Schema Registries.Infrastructure Familiarity: Kubernetes / Red Hat OpenShift (since IBM Event Streams frequently runs on OpenShift via operators).Experience: 5+ years in backend software development, with 3+ years dedicated to Kafka/Event-Driven architectures.
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