

Acumenz Consulting
Kafka Engineer
⭐ - 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.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 23, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
-
🧠 - 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:
• Design, implement, and maintain highly available Kafka clusters in production environments.
• Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
• Administer security protocols and access controls to protect the platform.
• Monitor cluster health and performance using our established monitoring stack (Prometheus, Grafana)
• Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
• Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
• Assist with planning and managing cluster resources to support future growth.
• Develop Kafka topics, partitions, ACLs, schema registry, and optimize throughput and reliability.
• Manage a tune Kafka Connect, Kafka Streams, and MirrorMaker as needed for data pipelines.
• Ensure platform reliability and performance on enterprise-grade Linux systems (RHEL, Ubuntu).
• Automate Kafka provisioning, configuration, and monitoring using Infrastructure as Code (IaC) and configuration management tools (e.g., Ansible, Terraform).
• Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
• 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:
• Design, implement, and maintain highly available Kafka clusters in production environments.
• Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
• Administer security protocols and access controls to protect the platform.
• Monitor cluster health and performance using our established monitoring stack (Prometheus, Grafana)
• Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
• Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
• Assist with planning and managing cluster resources to support future growth.
• Develop Kafka topics, partitions, ACLs, schema registry, and optimize throughput and reliability.
• Manage a tune Kafka Connect, Kafka Streams, and MirrorMaker as needed for data pipelines.
• Ensure platform reliability and performance on enterprise-grade Linux systems (RHEL, Ubuntu).
• Automate Kafka provisioning, configuration, and monitoring using Infrastructure as Code (IaC) and configuration management tools (e.g., Ansible, Terraform).
• Deep knowledge of Kafka ecosystem components like ZooKeeper, Kafka Connect, Schema Registry, MirrorMaker, KRaft (Kafka without ZooKeeper).
• Build custom Kafka tooling and dashboards for producers and consumers, monitor lag and health metrics.






