Kafka Engineer

ITLT is a company working with partner firms to transform ambitious ideas into digital reality, focusing on challenges, technology curiosity, and agility. The project involves building a hybrid Kafka environment connecting on-premise clusters with AWS. The team includes Data Platform specialists such as Data Engineers, DevOps, and Security professionals. The sector is Money Services.

• Minimum 4 years of experience with Apache Kafka
• Strong knowledge of Confluent Platform (Enterprise) and Confluent Cloud
• Experience in Kafka cluster migration and replication (especially MirrorMaker 2, Cluster Linking, Confluent Replicator)
• Practical experience with AWS services including VPC, IAM, EC2, EKS, MSK, S3, KMS, Secrets Manager
• Experience building and maintaining hybrid on-premise to AWS environments
• Proficiency with Terraform (module creation, versioning, plan testing; Terratest and tfsec are a plus) and Ansible
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins
• Programming and scripting skills in Python, Ansible, and Bash
• Experience in automating integration tests for Kafka
• Knowledge of monitoring and observability tools (Prometheus, Grafana, Confluent Control Center, OpenTelemetry, Elastic Stack)
• Understanding of Kafka security fundamentals: TLS, SASL, ACL, RBAC, data encryption at rest and in transit

• Design and develop hybrid Kafka architecture connecting on-premise and AWS environments
• Select and configure components of Confluent Platform including Schema Registry, Flink, Control Center, and Tableflow
• Build and configure Kafka environment in AWS (MSK, EKS, related services)
• Implement data replication and synchronization between on-prem and AWS clusters
• Configure and maintain MirrorMaker 2, Cluster Linking, and Confluent Replicator
• Ensure data consistency and low latency during replication
• Design and implement CI/CD pipelines for Kafka, schemas, and consumer applications
• Develop and maintain Infrastructure-as-Code using Terraform
• Automate deployments, tests, and infrastructure
• Implement and maintain monitoring and observability solutions using Prometheus, Grafana, Control Center, OpenTelemetry, Elastic Stack
• Create runbooks, alerts, and SLA/SLO documentation
• Troubleshoot technical incidents during solution development and maintenance
• Optimize Kafka performance and configuration tuning
• Collaborate with Data Platform, Data Engineering, DevOps, and Security teams
• Mentor less experienced engineers and conduct technical workshops

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