Azure DevOps Engineer

Perfict Global, Inc.

Woburn, MA, United States

8 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$131,300.0 - $237,350.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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)

+24 more

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

Job 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

Requirements

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.