

Acumenz Consulting
Kafka Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Kafka Engineer with a contract length of 6-12 months, located in NYC, NY. Key skills include Apache Kafka, Linux, monitoring (Prometheus, Grafana), and automation (Ansible, Terraform). Strong experience in mission-critical environments is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
October 23, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
New York, United States
-
π§ - Skills detailed
#Linux #Automation #Infrastructure as Code (IaC) #Security #Zookeeper #Apache Kafka #Kafka (Apache Kafka) #Data Pipeline #Terraform #Replication #Prometheus #Ansible #Grafana #Monitoring
Role description
Role: Platform Engineer- Kafka with Linux
Duration: 6 - 12 months
Location: NYC, NY
Job description:
Core Platform Engineer with deep expertise in Apache Kafka and Linux systems engineering.
The ideal candidate will be responsible for designing, deploying, maintaining, and scaling Kafka clusters in mission-critical environments, while also supporting the Linux-based infrastructure that forms the foundation of our real-time data platform
Responsibilities:
β’ Design, implement, and maintain highly available Kafka clusters in production environments.
β’ Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
β’ Administer security protocols and access controls to protect the platform.
β’ Monitor cluster health and performance using our established monitoring stack (Prometheus, Grafana)
β’ Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
β’ Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
β’ Assist with planning and managing cluster resources to support future growth.
β’ Develop Kafka topics, partitions, ACLs, schema registry, and optimize throughput and reliability.
β’ Manage a tune Kafka Connect, Kafka Streams, and MirrorMaker as needed for data pipelines.
β’ Ensure platform reliability and performance on enterprise-grade Linux systems (RHEL, Ubuntu).
β’ Automate Kafka provisioning, configuration, and monitoring using Infrastructure as Code (IaC) and configuration management tools (e.g., Ansible, Terraform).
β’ Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
β’ Build custom Kafka tooling and dashboards for producers and consumers, monitor lag and health metrics.
Role: Platform Engineer- Kafka with Linux
Duration: 6 - 12 months
Location: NYC, NY
Job description:
Core Platform Engineer with deep expertise in Apache Kafka and Linux systems engineering.
The ideal candidate will be responsible for designing, deploying, maintaining, and scaling Kafka clusters in mission-critical environments, while also supporting the Linux-based infrastructure that forms the foundation of our real-time data platform
Responsibilities:
β’ Design, implement, and maintain highly available Kafka clusters in production environments.
β’ Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
β’ Administer security protocols and access controls to protect the platform.
β’ Monitor cluster health and performance using our established monitoring stack (Prometheus, Grafana)
β’ Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
β’ Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
β’ Assist with planning and managing cluster resources to support future growth.
β’ Develop Kafka topics, partitions, ACLs, schema registry, and optimize throughput and reliability.
β’ Manage a tune Kafka Connect, Kafka Streams, and MirrorMaker as needed for data pipelines.
β’ Ensure platform reliability and performance on enterprise-grade Linux systems (RHEL, Ubuntu).
β’ Automate Kafka provisioning, configuration, and monitoring using Infrastructure as Code (IaC) and configuration management tools (e.g., Ansible, Terraform).
β’ Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
β’ Build custom Kafka tooling and dashboards for producers and consumers, monitor lag and health metrics.






