Kafka Engineer

Обязанности: Design hybrid Kafka topologies (on-prem ↔ AWS), Select and configure Confluent Platform components (Schema Registry, Flink, Control Center, Tableflow), Deploy and configure Kafka clusters in AWS MSK and Confluent Cloud, Implement observability solutions (Prometheus, Grafana, Control Center), Configure MirrorMaker 2, Cluster Linking, and Confluent Replicator, Ensure low-latency, high-consistency data transfers across environments, Define pipelines (GitHub Actions, GitLab CI, Jenkins) for Kafka workloads, schema deployments, and consumer apps, Implement IaC with Terraform, including module development, testing (terratest, tfsec), and automated apply, Automate integration tests for Kafka-based solutions, Develop runbooks, alerts, SLAs/SLOs for hybrid Kafka estate, Troubleshoot performance bottlenecks and optimize configurations, Work with cross-functional Data Platform Teams (Data Engineering, DevOps, Security), Mentor junior engineers and conduct technical knowledge-sharing sessions, Note: Detailed project information will be shared during the recruitment process.

Опыт: Minimum 4 years of experience with Apache Kafka, Proven expertise with Confluent Platform (Enterprise) and Confluent Cloud, Hands-on experience in cluster migration and replication (MirrorMaker 2, Cluster Linking, Replicator), Strong AWS knowledge: VPC, IAM, EC2, EKS, MSK, S3, KMS, Secrets Manager, Proficiency in Terraform (modules, linting, testing) and Ansible, Experience with CI/CD pipelines (Git