Overview
Remote
On-site
Job Description
Title: Azure DevOps Engineer Location: Woburn MA. Mode : Onsite Duration: 6+ months Azure DevOps / MLOps Engineer Overview We are seeking an experienced Azure DevOps Engineer with strong MLOps expertise to build, automate, and support cloud infrastructure and deployment pipelines for AI/ML and enterprise applications. This role will focus on Azure platform administration, CI/CD automation, infrastructure as code, security governance, and enabling scalable machine learning operations. Key Responsibilities
- 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.
- 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.
- 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.
- 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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FAQs About Azure Devops Engineer Jobs at Perfict Global, Inc.
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This job at Perfict Global, Inc. is located in Woburn, MA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Perfict Global, Inc.?
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