Role Overview

We are looking for a mid-level DevOps Engineer with hands-on experience in cloud infrastructure, Kubernetes, CI/CD, and automation. The engineer will support application/platform deployments, cloud infrastructure, security remediation, and operational activities across development and production environments.

Key Responsibilities

· Build, maintain, and improve CI/CD pipelines using Azure DevOps.

· Deploy and manage applications and services on Azure Kubernetes Service (AKS).

· Support Kubernetes deployments using Helm, YAML manifests, and container-based workloads.

· Provision and maintain Azure infrastructure using Terraform/Bicep and infrastructure-as-code practices.

· Work with Azure services including AKS, Azure Storage, Key Vault, Azure SQL, Application Gateway/Front Door, Azure Monitor and Log Analytics.

· Build and maintain automation using PowerShell, Bash, or Python.

· Troubleshoot deployment, networking, container, infrastructure, and application issues.

· Support security and vulnerability remediation, including cloud configuration and container/image findings.

· Implement monitoring, alerting, logging, and operational dashboards.

· Manage configuration and secrets securely across environments.

· Work closely with developers, architects, security teams, and other DevOps engineers.

· Participate in release, production deployment, incident resolution, and environment support activities.

· Maintain technical documentation and operational runbooks.

Required Skills

· 3–6 years of DevOps, cloud engineering, or related experience.

· Strong hands-on experience with Microsoft Azure.

· Good experience with Kubernetes / AKS and Docker.

· Experience with Azure DevOps pipelines, Git, and CI/CD.

· Experience with Terraform or Bicep.

· Working knowledge of PowerShell, Bash, or Python.

· Understanding of Azure networking, private endpoints, DNS, load balancing, and identity/access concepts.

· Experience troubleshooting Kubernetes deployments, pods, services, ingress, and container issues.

· Familiarity with cloud security and vulnerability-remediation practices.

Preferred Skills

· Experience deploying AI agents, microservices, or containerized applications.

· Experience with NGINX, Azure Front Door, Application Gateway, and WAF.

· Exposure to Databricks, Cosmos DB/MongoDB, Azure SQL, and Azure Storage.

· Familiarity with tools such as Aqua Security, Mend, Checkmarx, or similar security-scanning platforms.

· Experience supporting enterprise-scale production environments.

Candidate Profile

We are looking for someone who is hands-on rather than purely operational. The ideal candidate can independently take a deployment or infrastructure requirement, automate it, troubleshoot failures, and work with development and security teams through production readiness.