ABOUT US

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.

JOB DESCRIPTION

This is a remote position.

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.

• 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.