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# Azure DevOps Engineer

- **Company:** Perfict Global, Inc.
- **Location:** Woburn, MA, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Data Infrastructure, DevOps, Github, Monitoring of Systems, Python (Programming Language), Log Analysis, Machine Learning, Windows PowerShell, Role-Based Access Control, Reliability Engineering, Prometheus, Azure Machine Learning, YAML, Cloud Monitoring, System Availability, Delivery Pipeline, Grafana, Microsoft Fabric, Containerization, Infrastructure Automation Frameworks, Bicep, Azure AKS, Machine Learning Operations, Terraform, Software Version Control, Api Management, Docker, Key Vault, Databricks
- **Published:** August 20, 2026
- **Apply:** https://www.careerjet.com/job/us6f13d5f960b9514b4bdcde6c039907c3/eaa

## About the Role

* 5+ years of DevOps, Site Reliability Engineering (SRE), or Cloud Engineering experience, including 3+ years within Azure environments.
 * Hands-on experience with Azure DevOps, GitHub Actions, YAML-based CI/CD pipelines, and source control best practices.
 * Strong expertise with Terraform, Bicep, or ARM templates for infrastructure automation.
 * Experience managing AKS, container registries, Docker, Helm, and containerized application deployments.
 * Knowledge of Azure Machine Learning, model deployment workflows, and MLOps best practices.
 * Proficiency in PowerShell and/or Python automation.
 * Strong understanding of Azure security, networking, governance, compliance, and cost management practices., * Experience supporting GPU-based ML workloads and model-serving platforms within AKS or Azure Machine Learning.

## Description

* Design, build, and maintain Azure DevOps and GitHub Actions CI/CD pipelines for application and AI/ML model deployment.
 * Implement Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates to provision and manage Azure environments.
 * Administer Azure services, including AKS, Azure Machine Learning, Azure Container Registry (ACR), and supporting cloud infrastructure.
 * Support containerized workloads, GPU-enabled environments, and ML model deployment workflows.
 * Establish and maintain cloud security, governance, and compliance controls, including RBAC, Azure Policy, Managed Identity, Key Vault, and networking standards.
 * Develop automation solutions using PowerShell and Python to improve operational efficiency and platform reliability.
 * Partner with data science, engineering, security, and IT teams to accelerate AI adoption while maintaining platform stability and scalability.
 * Implement monitoring, alerting, and observability solutions using Azure Monitor, Application Insights, Grafana, and Prometheus., * Familiarity with Databricks, Microsoft Fabric, and modern data platforms supporting AI initiatives.
 * Azure certifications such as Azure DevOps Engineer Expert, Azure Solutions Architect Expert, or related credentials.

Core Technologies

 * Azure: AKS, Azure Machine Learning, Functions, Storage, Key Vault, Monitor, Log Analytics, API Management, Event Hub, Service Bus
 * DevOps & Automation: Azure DevOps, GitHub Actions, Terraform, Bicep, ARM, Docker, Helm, ACR
 * Security & Governance: Azure Policy, RBAC, Managed Identity, Defender for Cloud, Key Vault
 * Monitoring & Observability: Azure Monitor, Application Insights, Grafana, Prometheus
 * Languages: YAML, PowerShell, Python, Bash


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- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

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