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
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 23, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - 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.