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# Senior IT & Azure DevOps Engineer

- **Company:** Akaasa Technologies
- **Location:** Woburn, MA, United States
- **Experience:** Expert
- **Salary:** $119,830.0 - $175,440.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, Bash Shell, Business Software, Cloud Computing, Cloud Computing Security, Continuous Integration, DevOps, Github, Python (Programming Language), Log Analysis, Machine Learning, Windows PowerShell, Role-Based Access Control, Prometheus, Azure DevOps Pipelines, Azure Machine Learning, YAML, Enterprise Software Applications, Cloud Monitoring, Delivery Pipeline, Grafana, Infrastructure as Code (IaC), AI Platforms, Kubernetes, Information Technology, Bicep, Azure AKS, Data Management, Machine Learning Operations, Terraform, Api Management, Docker, Key Vault, Databricks, Vulnerability Analysis
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/jobad/us1a7fc39c0cbec4951dda234637c647fd

## About the Role

* Strong experience with Azure DevOps, AKS, and Azure Machine Learning.
 * Proficiency in CI/CD, IaC, and container orchestration.
 * Familiarity with cloud security best practices and compliance frameworks.
 * Knowledge of AI/ML deployment workflows and traditional IT infrastructure., * Experience with GPU workloads on AKS or AML; model serving (Azure ML Managed Online Endpoints, Kubernetes Inference).
 * Familiarity with Databricks, Fabric, or other data platforms that feed AI services.
 * Certifications: Azure DevOps Engineer Expert, Azure Solutions Architect, or equivalent.

## Description

* Design and maintain Azure DevOps pipelines (YAML) for build, test, security scanning and release of AI/ML models.
 * Implement Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep.
 * Manage artifact repositories and container image signing for compliance.
 * Cloud & Platform Management

 * Administer Azure environments, including AKS clusters for containerized workloads and GPU-enabled pools for ML training.
 * Standardize environments for business applications and Azure Machine Learning workspaces.
 * Security & Compliance

 * Enforce governance guardrails for both IT and AI workloads.
 * Ensure adherence to regulatory and internal security standards.
 * Collaboration & Support

 * Partner with data science teams to enable rapid deployment of ML models.
 * Work with IT stakeholders to maintain reliability and scalability of enterprise systems., * Azure: AKS, Functions, Storage, Key Vault, Monitor/Log Analytics, API Management, Event Hub/Service Bus.
 * DevOps: Azure DevOps, GitHub, ACR, Helm, Docker; Terraform or Bicep/ARM.
 * Security/Governance: Azure Policy, RBAC, Managed Identity, Key Vault, Defender for Cloud.
 * Observability: Application Insights, Azure Monitor, Grafana/Prometheus.
 * Languages: YAML, PowerShell, Python; optional Bash., Job Summary (List Format): - DevOps & Automation: - Design, implement, and maintain Azure DevOps pipelines (YAML) for building, testing, security scanning, and releasing AI/ML m…
 + 16 hours ago
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