Kafka Tech Lead/Only on our W2

Hybrid in Bethesda, MD, US • Posted 11 hours ago • Updated 11 hours ago
Contract W2
Contract Independent
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Kafka
  • operations
  • Apache Kafka
  • Amazon Web Services
  • Docker
  • Streaming
  • Scripting
  • Production Support
  • Kubernetes
  • Cloud Computing
  • Hospitality
  • DevOps

Summary

Job Title: Kafka Tech Lead – Operations
Client: Hospitality Industry
Duration: 12+ Months Contract
Location: Bethesda ,MD ( Hybrid -3 days a week)
We are looking for an experienced Kafka Tech Lead with strong operational expertise to support and manage enterprise Kafka streaming platforms for a leading hospitality client, Marriott. The role will focus on Kafka cluster operations, monitoring, performance tuning, and production support for large-scale real-time data streaming systems.
 
Key Responsibilities
  • Lead Kafka platform operations and ensure stability of Kafka clusters in production environments.
  • Manage Kafka cluster setup, configuration, upgrades, and scaling.
  • Monitor Kafka infrastructure using tools like Prometheus, Grafana, Datadog, or Splunk.
  • Troubleshoot Kafka performance issues, consumer lag, partitions, and replication problems.
  • Support Kafka producers, consumers, and streaming pipelines across enterprise applications.
  • Implement Kafka security, monitoring, and operational best practices.
  • Work with DevOps and application teams to support data streaming platforms.
Required Skills
  • 8 years of IT experience with strong Apache Kafka expertise.
  • Hands-on experience in Kafka operations and production support.
  • Strong knowledge of Kafka architecture, cluster management, partitions, replication, and performance tuning.
  • Experience with Kafka ecosystem tools (Kafka Connect, Schema Registry, Kafka Streams).
  • Experience with monitoring tools (Prometheus, Grafana, Datadog, Splunk).
  • Strong Linux and scripting experience (Python/Shell).
  • Knowledge of Docker, Kubernetes, or cloud platforms (AWS/Azure/Google Cloud Platform) is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119168
  • Position Id: 8909972
  • Posted 11 hours ago
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