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# Kafka Platform Engineer

- **Company:** Brooksource
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Salary:** $124,800.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Bash Shell, Big Data, Data Validation, Data Systems, Linux, Identity and Access Management, Python (Programming Language), Performance Tuning, Cloudera, Datadog, Scripting, Gitlab-ci, Apache Kafka, Terraform, Confluent
- **Published:** October 14, 2026
- **Apply:** https://www.adzuna.com/details/5927276282

## About the Role

* 5+ years in data, platform, or infrastructure engineering, including 4+ years running Kafka in production
 * Hands-on administration of Cloudera and Confluent Platform
 * Production experience with AWS MSK (IAM auth, networking) and solid AWS fundamentals
 * Strong Terraform and GitLab CI/CD experience
 * Hands-on Datadog monitoring, dashboards, and alerting
 * Strong Linux and scripting skills (Bash, Python) with on-call and incident response experience
 * Preferred: MirrorMaker 2, Replicator, or cluster linking experience from platform migrations

## Description

If you enjoy keeping critical data systems running smoothly and want a front-row seat to a major cloud transition, this one is for you. You'll join a collaborative data platform team that owns the engineering, administration, and day-to-day care of enterprise streaming and big data platforms across on-prem and AWS. As those platforms move to the cloud, you'll be a trusted voice in keeping Kafka reliable, secure, and fast for the application teams who depend on it, and in making every cutover a smooth one.

What You'll Do:

 * Administer and support Kafka across on-prem and AWS MSK, including incident response, root-cause analysis, and on-call participation
 * Manage topics, partitions, security, and performance tuning to keep the platform reliable and scalable
 * Partner on moving workloads from on-prem to AWS MSK, including data validation and rollback planning
 * Build and maintain infrastructure as code using Terraform and GitLab CI/CD
 * Create Datadog dashboards and alerting to catch issues early and reduce time to resolution
 * Advise producer and consumer application teams on client configuration, troubleshooting, and best practices