Kafka Administrator - Cloud, Terraform & AWS | Remote

IMR Soft LLC; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Job summary

IMR Soft LLC is seeking a Kafka Administrator to manage and optimize Kafka clusters within Confluent Cloud environments. The role focuses on deployment, monitoring, security, and automation to ensure high availability and efficient data movement across the system.

The ideal candidate will have hands-on experience with Apache Kafka, Confluent Cloud, Terraform, Git, Kubernetes, and AWS, plus familiarity with Unix scripting and DevOps practices.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field (or equivalent).
• Experience administering Apache Kafka and Confluent Cloud/Platform.
• Familiarity with event-driven architecture, NoSQL DB (MongoDB preferred), DevOps and CI/CD.

Responsibilities

• Design, deploy, and maintain Confluent Cloud Kafka clusters.
• Monitor Kafka cluster performance, usage, and health.
• Configure and tune Kafka parameters to optimize performance.
• Deploy resources using Terraform in Confluent Cloud.
• Implement security measures to protect Kafka clusters.
• Develop automation scripts for routine tasks and monitoring.
• Collaborate with teams to troubleshoot Kafka issues.
• Perform capacity planning and scaling of clusters.
• Ensure Kafka availability and fault tolerance.
• Adopt best practices for Kafka operations and stay updated.

Skills

Kafka admin

Terraform

Git

Kubernetes

AWS cloud

Unix

Education

Bachelor’s degree in CS/Engineering or related field

Tools

Terraform

Git

Kubernetes

AWS Cloud

Job description

IMR Soft LLC is seeking a Kafka Administrator to manage and optimize Kafka clusters within Confluent Cloud environments. The role focuses on deployment, monitoring, security, and automation to ensure high availability and efficient data movement across the system.

The ideal candidate will have hands-on experience with Apache Kafka, Confluent Cloud, Terraform, Git, Kubernetes, and AWS, plus familiarity with Unix scripting and DevOps practices.