Kafka Platform engineer
VentureSoft Global
Bethesda, MD, United States
15 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Cloud Computing
Linux
Disaster Recovery
Distributed Systems
Performance Tuning
Data Streaming
Apache Zookeeper
Scripting
Kubernetes
Apache Kafka
Confluent
Job description
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., * 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
Requirements
- 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, + 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
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