Kafka Platform engineer
Bethesda, MD · On-site
Job Title: Kafka Tech Lead - Operations Client: Hospitality Industry Duration: 12+ Months Contract Location: Bethesda ,MD ( Hybrid -3 days a week) Kafka Platform EngineerJob Summary We are looking ...

2 jobs near Columbus, OH
Bethesda, MD · On-site
Job Title: Kafka Tech Lead - Operations Client: Hospitality Industry Duration: 12+ Months Contract Location: Bethesda ,MD ( Hybrid -3 days a week) Kafka Platform EngineerJob Summary We are looking ...
Bethesda, MD · On-site
Job Title: Kafka Tech Lead - Operations Client: Hospitality Industry Duration: 12+ Months Contract Location: Bethesda ,MD ( Hybrid -3 days a week) Kafka Platform EngineerJob Summary We are looking ...
Detroit, MI · On-site
$93K - $123K/yr
Lead Data Engineer - Databricks Data Modeling & Architecture Location: Detroit, MI (Onsite) Work Arrangement: 100% Onsite Job Summary We are seeking an experienced Databricks Data Engineer for a 6 ...
Detroit, MI · On-site
$93K - $123K/yr
Lead Data Engineer - Databricks Data Modeling & Architecture Location: Detroit, MI (Onsite) Work Arrangement: 100% Onsite Job Summary We are seeking an experienced Databricks Data Engineer for a 6 ...
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 SkillsStrong 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
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
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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501 - 1,000 Employees
Pleasanton, CA, US
1996