Kafka & Kubernetes Platform Engineer
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The role
Design, deploy, and operate high-scale streaming and orchestration platforms on AWS EKS, delivering reliability and performance for real-time analytics.
Lead Apache Kafka operations at massive scale: manage topics, scale brokers, tune for 1M+ records/second, and handle petabyte-scale storage.
Deploy Kafka with Strimzi, Confluent components, and Helm, focusing on automation, observability, and secure, scalable deployments.
Integrate with Spark, Airflow, Apache Beam, and emerging Flink pipelines to support batch and streaming workloads.
Contribute to Data Lake and Data Mesh initiatives, using Iceberg for reliable, versioned storage and promoting IaC-driven self-service.
Operate with a bias toward reliability, cost efficiency, and proactive problem solving during core hours (no on-call rotation).
Lead Apache Kafka operations at massive scale: manage topics, scale brokers, tune for 1M+ records/second, and handle petabyte-scale storage.
Deploy Kafka with Strimzi, Confluent components, and Helm, focusing on automation, observability, and secure, scalable deployments.
Integrate with Spark, Airflow, Apache Beam, and emerging Flink pipelines to support batch and streaming workloads.
Contribute to Data Lake and Data Mesh initiatives, using Iceberg for reliable, versioned storage and promoting IaC-driven self-service.
Operate with a bias toward reliability, cost efficiency, and proactive problem solving during core hours (no on-call rotation).
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