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# Senior IT & Azure DevOps Engineer

- **Company:** Expert Technology Services
- **Location:** Woburn, MA, United States
- **Experience:** Expert
- **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, Grafana, Infrastructure as Code (IaC), AI Platforms, Kubernetes, Bicep, Data Management, Machine Learning Operations, Terraform, Api Management, Docker, Key Vault, Databricks, Vulnerability Analysis
- **Published:** October 9, 2026
- **Apply:** https://www.careerjet.com/jobad/usef43536870a4f3fd5eec905a87b4d420

## About the Role

5+ years in DevOps/SRE, with 3+ years on Azure.

 - Hands-on experience with Azure DevOps (Repos, Pipelines, Artifacts), GitHub Actions, and YAML-based CI/CD.
 - Proficient in IaC (Terraform, Bicep/ARM), AKS, ACR, PowerShell and/or Python, Docker, Helm.
 - Experience with Azure Machine Learning (workspaces, endpoints, registries) and ML workflows in CI/CD.
 - Strong understanding of cloud security (RBAC, Key Vault, Managed Identity), networking (VNet, subnets, Private Link), and cost management.
 - Preferred Experience:
 - Experience with GPU workloads on AKS/AML, model serving (Azure ML Managed Online Endpoints, Kubernetes Inference).
 - Familiarity with Databricks, Fabric, or similar data platforms.
 - Relevant Azure certifications (DevOps Engineer Expert, Solutions Architect, etc.).

## Description

Design, implement, and maintain Azure DevOps pipelines (YAML) for building, testing, security scanning, and releasing AI/ML models.

 - Implement Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep.
 - Manage artifact repositories and ensure 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 and support business applications and Azure Machine Learning workspaces.
 - Security & Compliance:
 - Enforce governance guardrails for IT and AI workloads.
 - Ensure compliance with regulatory and internal security standards.
 - Collaboration & Support:
 - Partner with data science teams to enable rapid ML model deployment.
 - Work with IT stakeholders to ensure 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/Bicep/ARM)
 - Security/Governance (Azure Policy, RBAC, Managed Identity, Defender for Cloud)
 - Observability (Application Insights, Azure Monitor, Grafana/Prometheus)
 - Languages: YAML, PowerShell, Python (Bash optional)
 - Key Deliverables (First 90 Days):
 - Baseline CI/CD templates for AI services and documented promotion strategies.
 - Reference AKS/AML environments deployed via IaC with guardrails and runbooks.
 - Unified observability stack with dashboards, alerts, and SLOs for pipeline and platform health.
 - Playbooks for incident response and change management; backlog of automation opportunities.
 - Soft Skills:
 - Strong communication and collaboration with AI developers, security, and operations teams.
 - Focus on automation, reliability, documentation, and ability to operate in regulated environments.