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Kafka Platform Engineer (Irvine)
Kafka Platform Engineer (Irvine)THOUGHT BYTE • Irvine, CA, US
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Kafka Platform Engineer (Irvine)

Kafka Platform Engineer (Irvine)

THOUGHT BYTE • Irvine, CA, US
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Job Title : Kafka Platform Engineer

Location : Irvine, CA (Hybrid)

Duration : Long Term Contract

Description :

  • We are seeking a Senior Kafka Engineer to manage, enhance, and scale an enterprise-grade Apache Kafka implementation deployed on AWS and the Confluent Platform.
  • This person will be responsible for keeping the system reliable, improving it over time, and expanding it to support new applications.
  • This role involves performing detailed architectural reviews, monitoring, performance tuning, optimizing existing Kafka pipelines, and partnering with application teams to deliver reliable, secure, and performant streaming solutions in a FinTech environment.

Qualifications :

  • 10+ years in platform engineering with 3+ years of hands-on experience with Apache Kafka.
  • Proficiency in Kafka client development using Java or Python.
  • Expertise with Confluent Platform (Brokers, Schema Registry, Control Center, ksqlDB).
  • Experience deploying and managing Kafka on AWS (including MSK or self-managed EC2-based setups).
  • Solid understanding of Kubernetes, especially EKS, for microservices integration.
  • Hands-on experience with Kafka Connect, Kafka Streams, and schema management.
  • Infrastructure automation experience with Terraform and Helm.
  • Familiarity with monitoring and alerting stacks : Prometheus, Grafana, ELK, or similar.

    • Preferred Qualifications :

  • Prior experience in the FinTech domain or other regulated industries.
  • Understanding of security best practices, including TLS, authentication (SASL, OAuth), RBAC, and encryption at rest.
  • Exposure to Apache Flink, Spark Streaming, or other stream processing engines.
  • Experience establishing Kafka governance frameworks and multi-tenant topic strategies.
  • Must Have & Desired Skills : Confluent Kafka, Terraform, Kubernetes, EKS.
  • Nice to have Kafka Certification.

    • Responsibilities :

  • Manage and enhance existing Apache Kafka and Confluent Platform on AWS.
  • Review existing implementations and recommend improvements.
  • Collaborate with engineering and product teams to integrate new use cases and define scalable streaming patterns.
  • Implement and maintain Kafka producers / consumers, Connectors, and Kafka Streams applications.
  • Enforce governance around topic design, schema evolution, partitioning, and data retention.
  • Monitor, troubleshoot, and tune Kafka clusters using Confluent Control Center, Prometheus, and Grafana.
  • Use Kubernetes and Terraform to automate Kafka infrastructure deployment and scaling.
  • Ensure high availability, security and disaster recovery.
  • Mentor other engineers and provide leadership in Kafka-related initiatives.
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