Azure DevOps Engineer; Kafka Exp

Overview

ETech is a leading Information Technology solutions provider based in Hitec City, Hyderabad, India. We are a subsidiary of Everest Technologies Inc. based in Columbus, Ohio USA. We deliver top quality systems and software design, architecture, development, testing and implementation services to clients in a variety of industrial, commercial, and governmental environments. By focusing on achieving client successes, we have achieved success ourselves.

Our reputation for providing creative and technically superior consulting services is built on our innovative use of leading technologies tailored to meet the individual needs of our clients.

This is a remote position.

• Design, build, and maintain CI/CD pipelines using Azure Dev Ops.
• 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.
• 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.

• 5+ years of experience in Dev Ops 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 Dev Ops, Git Hub 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, Power Shell, or Python
  .
• Good understanding of event-driven architectures and real-time data streaming.