Kafka DevOps Engineer (m/f)

You want to combine passion and IT expertise?You are talented, motivated and ambitious? Then, we will be more than happy to meet you!ARHS Group – Part of Accenture is looking for a Kafka DevOps Engineer (m/f), to join its team at the client.As a Kafka DevOps Engineer (m/f), you will be responsible for implementing, and maintaining Kafka infrastructure to ensure high availability, scalability, and performance.Key Responsibilities:Deploy, configure, monitor, and maintain Kafka clusters in a high-availability production environmentTune Kafka configurations, partitions, replication, and producers/consumers to ensure efficient message streamingAutomate Kafka infrastructure deployment and management using Terraform, Ansible, or similar toolsImplement robust monitoring solutions (e.g., Dynatrace) and troubleshoot performance bottlenecks, latency issues, and failuresEnsure secure data transmission, access control, and compliance with security best practices (SSL/TLS, RBAC, Kerberos)Integrate Kafka with CI/CD pipelines and automate deployment processes to improve efficiency and reliabilityAnalyze workloads and plan for horizontal scaling, resource optimization, and failover strategiesWork closely with development teams to support Kafka-based applications and ensure seamless data flowTraining and technical support to end users and other stakeholdersYour profile:5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Kafka administrationStrong hands-on experience with Apache Kafka (setup, tuning, and troubleshooting)Proficiency in scripting (Python, Bash) and automation tools (Terraform, Ansible)Experience with cloud environments (AWS, Azure, or GCP) and Kubernetes-based Kafka deploymentsFamiliarity with Kafka Connect, KSQL, Schema Registry, ZookeeperKnowledge of logging and monitoring tools (Dynatrace, ELK, Splunk)Understanding of networking, security, and access control for Kafka clustersExperience with CI/CD tools (Jenkins, GitLab, ArgoCD)Ability to analyze logs, debug issues, and propose proactive improvementsAn ITIL qualification is an assetExperience with Confluent Kafka or other managed Kafka solutionsKnowledge of event-driven architectures and stream processing (Flink, Spark, Kafka Streams)Experience with service mesh technologies (Istio, Linkerd) for Kafka networking is a plusCertifications in Kafka, Kubernetes, or cloud platforms is a plusFluency in English (written and spoken) is required.