Kafka Platform engineer
Quick Overview
Job Description
Client: Hospitality Industry
Duration: 12+ Months Contract
Location: Bethesda ,MD ( Hybrid -3 days a week)
Kafka Platform Engineer
Job Summary
We are looking for a strong Kafka Platform Engineer who has deep hands-on experience designing, building, managing, and optimizing Kafka platforms at scale. The ideal candidate should have strong expertise in Kafka broker architecture, cluster management, performance tuning, replication, and Confluent ecosystem components.
This role is focused on Kafka platform ownership and infrastructure engineering, not just application integration or producer/consumer development.
Required Skills
Strong hands-on experience with Apache Kafka and Confluent Platform
Experience designing and managing large Kafka clusters
Deep understanding of Kafka broker architecture and internals
Experience with partitioning, replication, ISR, retention, and log compaction
Kafka performance tuning and troubleshooting experience
Experience with Kafka Connect, Schema Registry, MirrorMaker, and KRaft/ZooKeeper
Strong understanding of distributed systems and event streaming platforms
Experience with monitoring, scaling, capacity planning, and disaster recovery
Experience with Linux, scripting, and automation
Knowledge of Kubernetes/Cloud Kafka deployments is preferred
Responsibilities
Design, build, and manage Kafka platform infrastructure
Configure and optimize Kafka brokers and clusters
Handle performance tuning, scaling, and troubleshooting
Manage replication, partition strategy, and broker balancing
Implement monitoring, alerting, and platform reliability improvements
Support high-throughput and mission-critical streaming environments
Work with infrastructure and application teams for platform integration
Ensure security, availability, and disaster recovery readiness
Preferred Experience
Confluent Platform or Confluent Cloud
Multi-region Kafka deployments
Kafka on Kubernetes/Strimzi
Infrastructure as Code and automation tools
Experience supporting large-scale enterprise Kafka environments
Skills
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