What are the responsibilities and job description for the Kafka Platform Engineer position at ITBrainiac Inc?
Kafka Platform Engineer
Denver, CO 80111 (100% Onsite Job)
06-12 Months
Must Have Skills:
Must have deep, handson experience running Kafka in largescale production environments, including cluster operations, upgrades, patches, and migrations.
Should understand Kafka internals such as partitions, replication, retention/compaction, and rebalance strategies.
Kafka Administration
Platform / SRE / DevOps Experience
Kafka Ecosystem Tools
Linux Networking
Automation / Scripting
Monitoring / Observability
Disaster Recovery
Job Description:
Minimum Qualifications- Education & Prior Job Experience:
We re seeking a senior contract Kafka/Confluent administrator to own and evolve our on-prem event streaming platform, with a primary focus on Confluent Platform. You will lead planning and execution of a hardware refresh for our on-prem clusters, drive reliability and performance, and embed DevOps/automation across provisioning, deployment, observability, and incident response. Experience with Apache Kafka and AWS MSK is desired for secondary support and cross-environment alignment. Comprehensive documentation and runbooks are required deliverables.
Kafka Platform Support Key Responsibilities
Design, deploy, and operate highly available Kafka clusters (on-prem, cloud, and/or managed services such as Confluent Cloud or AWS MSK).
Manage topics, partitions, quotas, retention policies, and consumer group strategies for performance and cost.
Own upgrades, patches, and migrations.
Implement and manage Kafka components: Kafka Connect, Schema Registry, MirrorMaker/Confluent Replicator, REST Proxy; familiarity with Kafka Streams and ksqlDB is a plus.
Performance tuning (producers/consumers, batching, compression, acks, ISR, controller health), throughput testing, and benchmarking.
Capacity planning, partitioning strategy, and cluster right-sizing.
Minimum Qualifications
5 years in systems/platform engineering, SRE, or DevOps; 4 years operating Kafka in production at scale.
Deep knowledge of Kafka internals: partitions, replication, retention/compaction, rebalance strategies.
Hands-on with Kafka Connect, Schema Registry, MirrorMaker/Confluent Replicator.
Strong Linux fundamentals; networking (TCP, DNS, load balancing), and performance analysis.
Proficiency in automation/scripting.
Monitoring/observability: Data Dog, Grafana, JMX exporters, and log aggregation.
Experience with DR, multi-region design, and incident management.
Proven ability to produce clear, comprehensive documentation.
Amer Ali - Lead Recruiter
Email :
LinkedIn:
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