- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Source
- Teamtailor
Description
39040 - Azure DevOps SRE Engineer
DevOps / SRE Engineer
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.
remote
advanced english