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DevOps Engineer

WDS Global Limited

Luxembourg, Luxembourg

Job Title: DevOps Engineer

Job Type: Contract

Job Location: Luxembourg onsite Able to work in shifts (7AM – 20PM) and 24/7, as well as provide 24/7 support outside of regular shift hours.

Contract Rate: Euro's 500 per day


CLIENT REQUIRES EU CITIZENS


DevOps Engineer – Kafka Service (F/M)


Overview: We are looking for a highly skilled DevOps Engineer to take ownership of the Kafka service within our IT ecosystem. The ideal candidate will be responsible for implementing, and maintaining Kafka infrastructure to ensure high availability, scalability, and performance. This role requires deep expertise in Apache Kafka, strong automation skills, and experience managing distributed data streaming platforms in a complex enterprise environment.


Key Responsibilities:

  • Kafka Administration & Operations: Deploy, configure, monitor, and maintain Kafka clusters in a high-availability production environment.
  • Performance Optimization: Tune Kafka configurations, partitions, replication, and producers/consumers to ensure efficient message streaming.
  • Infrastructure as Code (IaC): Automate Kafka infrastructure deployment and management using Terraform, Ansible, or similar tools.
  • Monitoring & Incident Management: Implement robust monitoring solutions (e.g., Dynatrace) and troubleshoot performance bottlenecks, latency issues, and failures.
  • Security & Compliance: Ensure secure data transmission, access control, and compliance with security best practices (SSL/TLS, RBAC, Kerberos).
  • CI/CD & Automation: Integrate Kafka with CI/CD pipelines and automate deployment processes to improve efficiency and reliability.


Required Skills & Experience:

  • 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).
  • Knowledge of AWS and kubernetes.

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