A leading technology company seeks a Kafka Engineer for a long-term remote role. With over 10 years of experience required, the candidate will manage and optimize Kafka platforms, ensuring high availability and robust configuration. Responsibilities include designing architecture, automating deployments with tools like Terraform and Kubernetes, and maintaining security protocols. Strong experience with Kafka, AWS, and OpenShift is essential. This position offers an opportunity to work on critical applications in a dynamic environment.
Qualifications
10+ years of experience in Kafka Admin.
Hands-on experience with Kafka clusters hosted on ROSA in AWS.
Experience in building Kafka pipelines using various tools.
Responsibilities
Design and configure application or architectural components.
Implement security measures on Kafka clusters.
Automate deployments using various orchestration tools.
Skills
Kafka Admin experience
AWS and OpenShift
Terraform
Ansible
Kubernetes
Docker
Security & authorization
High availability setup
Job description
KAFKA ENGINEER (Remote)
Duration: Long Term
Experience level: 10+ Years
Job Description:
7-10+ years of solid Kafka Admin experience in managing critical 24/7 applications.
Design, build, assemble, and configure application or technical architecture components using business requirements.
Hands‑on experience with Kafka clusters hosted on ROSA in AWS and on‑prem K8 OpenShift platform.
Experience in building Kafka pipelines using Terraform, Ansible, CloudFormation templates, shell scripts, etc.
Experience in implementing security & authorization (permission based) on the Kafka cluster.
Aid System Administrators with setting up the Kafka platform in provisioning, access lists Kerberos and SSL configurations.
Experience in setting standards to automate deployments using Kubernetes, Docker, Chef or Jenkins.
Experience in open source and Confluence Kafka, ZooKeeper, Kafka Connect, Schema Registry, KSQL, Rest Proxy and Kafka Control Center.
Experience in Kafka Mirror Maker or Confluent Replicator.
Experience in high availability cluster setup, maintenance and ongoing 24/7 support.
Establish best practice standards for configuring Source and Sink connectors.
Hands‑on experience in standing up and administering Kafka platform from scratch, including creating a backup & mirroring of KafkaCluster brokers, broker sizing, topic sizing, h/w sizing, performance monitoring, broker security, topic security, consumer/producer access management (ACL).