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Kafka DevOps Engineer (m / f)

Kafka DevOps Engineer (m / f)

ARHS Group Part of AccentureBiesdorf, DE
Vor 30+ Tagen
Stellenbeschreibung

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 environment
  • Tune Kafka configurations, partitions, replication, and producers / consumers to ensure efficient message streaming
  • Automate Kafka infrastructure deployment and management using Terraform, Ansible, or similar tools
  • Implement robust monitoring solutions (e.g., Dynatrace) and troubleshoot performance bottlenecks, latency issues, and failures
  • Ensure 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 reliability
  • Analyze workloads and plan for horizontal scaling, resource optimization, and failover strategies
  • Work closely with development teams to support Kafka-based applications and ensure seamless data flow
  • Training and technical support to end users and other stakeholders

Your profile :

  • 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Kafka administration
  • Strong 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 deployments
  • Familiarity with Kafka Connect, KSQL, Schema Registry, Zookeeper
  • Knowledge of logging and monitoring tools (Dynatrace, ELK, Splunk)
  • Understanding of networking, security, and access control for Kafka clusters
  • Experience with CI / CD tools (Jenkins, GitLab, ArgoCD)
  • Ability to analyze logs, debug issues, and propose proactive improvements
  • An ITIL qualification is an asset
  • Experience with Confluent Kafka or other managed Kafka solutions
  • Knowledge of event-driven architectures and stream processing (Flink, Spark, Kafka Streams)
  • Experience with service mesh technologies (Istio, Linkerd) for Kafka networking is a plus
  • Certifications in Kafka, Kubernetes, or cloud platforms is a plus
  • Fluency in English (written and spoken) is required.
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    Engineer • Biesdorf, DE