Devops Engineer - Azure

hireVouch is recruiting for an unnamed client, a legal-technology provider. The DevOps Engineer will design, automate, and support scalable Azure cloud platforms, advancing platform reliability, security, operational excellence, and developer productivity through cloud-native DevOps practices.

Responsibilities:

• Deploy, automate, and manage scalable Azure cloud infrastructure, including VMs, networking, DNS, gateways, load balancing, private endpoints, and related services
• Build and operate cloud-native applications using AKS, ACR, App Services, and Function Apps
• Implement automated build, deployment, testing, and release processes using Azure DevOps, Terraform/Ansible, Packer, and Azure Compute Gallery
• Deploy and automate Azure SQL Database, PostgreSQL Flexible Server, Elastic Pools, and related database services
• Implement cloud security, identity, and access controls using Managed Identities, Key Vault, RBAC, security groups, and secrets management
• Build proactive monitoring, alerting, logging, and performance management solutions while supporting on-call and incident response
• Support application integration and event-driven architectures using API Management, Logic Apps, Service Bus, and App Configuration
• Support the deployment and operation of AI-enabled services using Azure OpenAI, Azure AI Foundry, and Document Intelligence

Requirements:

• Experience in systems and cloud architecture, with a strong understanding of scalable and reliable cloud environments
• Demonstrated experience building, deploying, and maintaining SaaS solutions in Microsoft Azure
• Hands-on experience with Infrastructure as Code, CI/CD, automation, and containerized environments
• Strong understanding of cloud security, networking, monitoring, and operational reliability
• A collaborative team player who takes ownership and proactively identifies and resolves issues before they impact the business
• Detail-oriented and security-minded, with a continuous improvement mindset focused on platform reliability and operational efficiency