Azure DevOps Engineer (Senior)

Tech Stack:

• Microsoft Azure

• Azure Kubernetes Service (AKS)

• Azure DevOps (CI/CD, YAML Pipelines)

• Azure Bicep

• Kubernetes & Helm

• Azure Networking (VNets, Private Endpoints, Private DNS)

• Azure Security (Key Vault, RBAC, Managed Identities)

• Azure Messaging & Data Services (IoT Hub, Event Hubs, Service Bus, Cosmos DB)

• Azure Monitor, Application Insights & OpenTelemetry

• Git, Bash, PowerShell

Required Qualifications:

• Several years of experience in DevOps, Cloud, or Platform Engineering with a strong Azure focus.

• Hands-on experience with Infrastructure as Code, preferably Azure Bicep.

• Strong knowledge of Azure DevOps CI/CD pipelines and YAML.

• Solid experience with Kubernetes/AKS, including Helm and autoscaling.

• Good understanding of Azure networking and security.

• Scripting skills in Bash and/or PowerShell.

• Experience with Azure messaging, data, and observability services.

• Good English communication skills and ability to work in an international team.

Nice to Have:

• Experience with large-scale microservices platforms.

• Knowledge of event-driven architectures and IoT solutions.

• Azure certifications (AZ-104, AZ-305, AZ-400 or similar).

• Experience with platform engineering and cloud cost optimization.

• Experienced in using AI tools in day-to-day workflow

Project Description:

Join a team responsible for an Azure-based platform running around 50 microservices on AKS. You will take ownership of the cloud platform, ensuring its scalability, security, reliability, and automation while supporting development teams and driving continuous platform improvements.

Scope of Services:

• Manage and enhance the Azure cloud platform and AKS environment.

• Develop and maintain Infrastructure as Code using Azure Bicep.

• Build and optimize Azure DevOps CI/CD pipelines.

• Manage networking, security, and access controls.

• Support messaging, data, and integration services.

• Improve monitoring, observability, and alerting capabilities.

• Troubleshoot platform and deployment issues.

• Drive automation, reliability, scalability, and security improvements.