Devops Lead Azure DevOps, AI Ops

Responsibilities

• Own Azure DevOps and platform engineering activities across the project
• Design and implement Azure infrastructure for enterprise AI and application workloads
• Define deployment architecture and environment strategy across DEV TEST UAT and PROD
• Design and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions
• Implement Infrastructure as Code (IaC) using Terraform
• Design and operate containerized workloads on Azure Kubernetes Service (AKS)
• Own Azure networking and connectivity including VNets subnets Private Endpoints DNS routing firewalls and integration with enterprise networks
• Implement identity and access management using Microsoft Entra ID Managed Identities Service Principals and Azure RBAC
• Manage secrets certificates and credentials using Azure Key Vault
• Establish monitoring logging and alerting using Azure Monitor Application Insights and Log Analytics
• Implement DevSecOps controls vulnerability scanning and security automation
• Define release rollback backup disaster recovery and production support procedures
• Troubleshoot complex Azure infrastructure deployment networking security and performance issues
• Provide technical leadership and standards for DevOps engineers
• Collaborate closely with infrastructure cybersecurity engineering and Microsoft teams on platform readiness and production onboarding
  
  

Requirements

• Bachelors or Masters degree in Computer Science Information Systems Statistics or a related field
• Proven track record in designing building and supporting production-grade enterprise-scale Azure platforms
• Expert-level knowledge of Microsoft Azure services and platform engineering
• Strong hands-on experience with AKS Docker and Kubernetes ecosystem tools
• High proficiency in Azure DevOps pipelines and writing Infrastructure as Code using Terraform and/or Bicep
• Practical knowledge of enterprise Azure networking (VNets Private Endpoints DNS routing firewalls)
• Solid understanding of Microsoft Entra ID Managed Identities RBAC and secrets management via Azure Key Vault
• Experience configuring monitoring stacks using Azure Monitor Application Insights and Log Analytics
• Strong Linux administration and automation scripting skills in Python Bash and/or PowerShell
• Excellent communication and leadership skills with ability to work directly with enterprise clients and security teams
• English proficiency at B2/C1 level or higher
  
  

Nice to have

• Experience establishing Azure AI Services and Azure OpenAI infrastructure
• Familiarity with Azure API Management gateways
• Understanding of AI/ML workload deployment (MLOps) and Databricks on Azure
• Experience with PostgreSQL and Azure managed database services
• Familiarity with Helm Argo CD and GitOps workflows
• Hands-on exposure to Red Hat OpenShift and hybrid Azure/on-prem environments
• Knowledge of SAST/DAST tools (e.g. SonarQube) and container vulnerability scanning
• Experience with regulated industries such as Finance Energy or Healthcare