virtusa
Lead Azure DevOps with AI
Salary
Job description
Lead Azure Devops
Hybrid in Hartford, CT or Minneapolis.
- An Azure‑focused Cloud/DevOps Engineer demonstrated ability to integrate AI/ML models into DevOps workflows for intelligent deployment automation, predictive infrastructure management, and automated code quality analysis.
- Hands‑on expertise in Azure subnet design, firewall and NSG access configuration, DNS setup and domain management, and SSL/TLS certificate integration across Azure services. Experienced in designing and configuring Azure Load Balancer and Application Gateway for secure, scalable, and highly available application delivery, while ensuring end‑to‑end network reliability, security, and operational efficiency within enterprise Azure environments.
- Skilled in building and automating cloud infrastructure using Terraform. Practical experience implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps Pipelines, including hands‑on configuration, pipeline orchestration, and automated quality/security gates.
- Knowledge of DevSecOps, observability, and intelligent operational automation, enabling faster releases, improved quality, and enhanced platform reliability through AI driven insights, automated remediation, and continuous compliance.
Lead Azure Devops
Hybrid in Hartford, CT or Minneapolis.
- An Azure‑focused Cloud/DevOps Engineer demonstrated ability to integrate AI/ML models into DevOps workflows for intelligent deployment automation, predictive infrastructure management, and automated code quality analysis.
- Hands‑on expertise in Azure subnet design, firewall and NSG access configuration, DNS setup and domain management, and SSL/TLS certificate integration across Azure services. Experienced in designing and configuring Azure Load Balancer and Application Gateway for secure, scalable, and highly available application delivery, while ensuring end‑to‑end network reliability, security, and operational efficiency within enterprise Azure environments.
- Skilled in building and automating cloud infrastructure using Terraform. Practical experience implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps Pipelines, including hands‑on configuration, pipeline orchestration, and automated quality/security gates.
- Knowledge of DevSecOps, observability, and intelligent operational automation, enabling faster releases, improved quality, and enhanced platform reliability through AI driven insights, automated remediation, and continuous compliance.
