Contractor DevOps Engineer

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.

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

Qualifications

• Type of employment: Remote
• Location: European Union
• Contract hours: 40 hours
• Contract type: Freelance contract
• Education: Bachelor's degree in computer science or a relevant equivalent experience
• Experience: 5-7 years minimum
• Languages: English required
• Skills: 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. Excellent problem-solving and communication skills.
• ITIL qualification: An asset

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