Senior/Lead Devops Engineer (Azure)

Experience:

• 7+ years of experience in DevOps and cloud engineering.
• Hands-on experience with Azure, AWS, Oracle Cloud/Google Cloud Platform.
• Strong knowledge of CI/CD tools (e.g., Azure DevOps, Jenkins, GitHub Actions, GitLab).
• Proficiency in Infrastructure as Code (e.g., Terraform, ARM, Bicep).
• Configuration management tools(e.g., Ansible, Puppet).
• Experience with containerization and orchestration (Docker, Kubernetes).

Key Responsibilities:

• DevOps & CI/CD Pipelines:
• Design, implement, and manage CI/CD pipelines using Azure DevOps for .NET, Node.js, Android, iOS, and containerized applications.
• Maintain and deploy to Azure App Services, Function Apps, Logic Apps, AKS, and Service Fabric.
• Manage version control, approvals, and self-hosted agents within Azure DevOps environments.
• Infrastructure as Code:
• Develop and manage infrastructure using Terraform, Bicep, and Terraform Cloud Workspaces.
• Automate and provision Azure landing zones, network architectures, and multi-environment deployments.
• Cloud & Security Management:
• Operate and secure environments in Azure, AWS, and Oracle Cloud Infrastructure (OCI).
• Configure and manage Azure Firewalls, Palo Alto Firewalls, and Cloudflare WAF/DNS, including TLS/SSL lifecycle and load balancing.
• Containerization & Orchestration:
• Use Docker and Helm to containerize applications.
• Deploy and manage clusters in Azure Kubernetes Service (AKS), ECS, and ACI.
• Monitor cloud infrastructure using Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Automation & Scripting:
• Develop automation solutions using PowerShell, Azure Logic Apps, and basic Python.
• Implement ETL pipelines using Azure Data Factory and Azure Synapse Analytics.
• Monitoring & Observability:
• Build observability dashboards with tools like Datadog, New Relic, and Azure Workbooks.
• Configure alerts and analytics to support proactive infrastructure management.
• Preferred AI Skills,
• Azure AI foundry
• Azure Machine Learning
• GitHub Copilot
• AI Agents
• Experience with AWS and OCI infrastructure provisioning.
• Exposure to Office365 administration
• Leadership skills, Eagerness to Learn
• Ability to Lead team of 20-30 Engineers
• Familiarity with modern ETL patterns and data pipelines.