Description

Key Skills: DevOps, AI Artificial intelligence, Azure, Kubernetes, Containerization (Docker, Kubernetes)

Roles and Responsibilities:

• Own end-to-end CI/CD pipelines and release management workflows across non-PROD and PROD environments using GitHub Actions and Azure DevOps.
• Design, automate, and operate containerized deployments on Azure Kubernetes Service (AKS), including deployment, scaling, and traffic/service routing patterns.
• Implement Infrastructure as Code (IaC) using Terraform and ARM templates to provision and manage cloud resources consistently.
• Build and enhance monitoring, alerting, and logging using Azure Monitor, Prometheus, Grafana, and Loki to ensure platform health and reliability.
• Drive security and compliance practices for cloud infrastructure and pipelines, including RBAC and container/code security scanning.

Skills Required:

• 10+ years of relevant experience in DevOps/SRE and cloud infrastructure operations.
• Azure and DevOps leadership for enterprise cloud operations and delivery automation.
• CI/CD pipeline ownership and release automation using GitHub Actions and/or Azure DevOps.
• Container orchestration and operations on Kubernetes/AKS with strong deployment and reliability practices.
• Infrastructure as Code and observability: Terraform/ARM templates and monitoring with Azure Monitor, Prometheus, Grafana, and Loki.

Good to Have:

• Kubernetes and containerization experience (Docker), including service routing and service mesh patterns (Istio).
• Azure identity and access management experience (Azure Active Directory/Entra ID) and Azure Resource Access Management.
• Experience with Azure services such as Azure Functions, Azure Storage, Azure Redis, and Azure App Service.
• Certifications such as AZ-104, Azure DevOps Engineer Expert, or CKA.
• Exposure to deploying or managing AI-powered or Gen-AI-enabled applications using Azure AI Services.

Education: Bachelor's degree in computer science, Engineering, or a related field

Key Skills

Education

Any Graduate