Kafka Platform Engineer – Apache Kafka, Confluent Platform, Kafka Connect, Linux, AWS MSK – Onsite

Job Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ITBrainiac Inc, is seeking the following. Apply via Dice today!

Kafka Platform Engineer – Apache Kafka, Confluent Platform, Kafka Connect, Linux, AWS MSK – Onsite

**Only W2 / 1099. / / H1B accepted.**
We are looking for a Senior Kafka Platform Engineer with strong hands-on experience managing Apache Kafka and Confluent Platform in large scale production environments. The ideal candidate will have expertise in Kafka administration, platform engineering, DevOps/SRE practices, and Linux based infrastructure.

Key Responsibilities:

– Design, deploy, and operate highly available Apache Kafka clusters in production environments
– Manage Kafka topics, partitions, quotas, retention policies, and consumer group strategies
– Perform Kafka cluster upgrades, patching, migrations, and maintenance activities
– Implement and manage Kafka ecosystem tools including Kafka Connect, Schema Registry, MirrorMaker, and REST Proxy
– Perform performance tuning for producers and consumers, throughput testing, and benchmarking
– Plan capacity, partition strategy, and cluster right sizing
– Implement monitoring and observability solutions using tools such as DataDog, Grafana, and JMX exporters
– Develop automation and scripting solutions for platform deployment and operational efficiency
– Implement disaster recovery strategies and multi-region Kafka environments
– Create operational documentation including runbooks, monitoring standards, and DR procedures

Required Skills:

– Strong experience with Apache Kafka administration in production environments
– Hands-on experience with Confluent Platform
– Experience with Kafka Connect, Schema Registry, and MirrorMaker
– Strong Linux system administration and networking knowledge
– Experience working in DevOps or Site Reliability Engineering environments
– Automation and scripting experience
– Experience with monitoring and observability tools such as DataDog, Grafana, and log aggregation platforms
– Deep understanding of Kafka internals including partitions, replication, retention policies, and rebalance strategies

Nice to Have:

– Experience with AWS MSK or cloud-based Kafka environments
– Experience leading Kafka cluster migrations, rebuilds, or hardware refresh initiatives
– Familiarity with Kafka Streams or ksqlDB

Minimum Requirements:

– 5+ years experience in Platform Engineering, DevOps, or SRE roles
– 4+ years of hands-on Apache Kafka production support experience

If you are interested, please share your updated resume along with contact details.