Description

  • 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.



Required Skills:

  • 8+ years in platform engineering with 5+ years of hands-on experience with Apache Kafka and Confluent 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.


Nice to Have:

  • · 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

Key Skills
Education

Any Gradute

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