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Etech Global Services

Azure DevOps Engineer (Kafka Exp)

Posted 2 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Azure DevOps Engineer is responsible for designing and maintaining CI/CD pipelines, automating infrastructure provisioning, managing Kafka clusters, and integrating event-driven systems while ensuring high availability and disaster recovery configurations.
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This is a remote position.

Key Responsibilities
  • Design, build, and maintain CI/CD pipelines using Azure DevOps.

  • Automate infrastructure provisioning using Terraform / ARM templates / Bicep.

  • Deploy, configure, and manage Confluent or Apache Kafka clusters (on-prem, Confluent Cloud, or Azure).

  • Implement Kafka topics, partitions, consumer groups, and security configurations (SSL, SASL, ACLs).

  • Monitor and troubleshoot Kafka performance, lag, and reliability issues.

  • Manage Azure cloud resources including AKS, Azure Functions, Azure Event Hubs, and Azure Monitor.

  • Integrate Kafka with downstream and upstream systems (databases, APIs, data lakes, event-driven microservices).

  • Maintain robust monitoring, logging, and alerting using Prometheus, Grafana, ELK, or Azure Monitor.

  • Collaborate with development, data engineering, and architecture teams to support event-driven systems.

  • Ensure high availability, fault tolerance, and disaster recovery configurations for Kafka clusters.

Required Skills & Qualifications
  • 5+ years of experience in DevOps engineering with a focus on Azure Cloud.

  • Hands-on experience with Apache Kafka / Confluent Kafka (setup, administration, and troubleshooting).

  • Strong skills in CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.).

  • Proficiency in Infrastructure as Code (IaC) tools: Terraform, ARM, or Bicep.

  • Experience with container orchestration (Kubernetes, AKS).

  • Knowledge of networking, load balancing, and security best practices in cloud environments.

  • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Azure Monitor, Splunk).

  • Strong scripting skills in Bash, PowerShell, or Python.

  • Good understanding of event-driven architectures and real-time data streaming.



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