Highlights
You should be comfortable discussing how you would securely deploy AI or data workloads across Azure environments using infrastructure as code, CI/CD, identity, networking, security controls, monitoring, and governance. We are seeking a Senior Azure DevOps / AI Platform Engineer to help build, automate, secure, and operate enterprise Azure infrastructure supporting AI, data, and cloud-native workloads.
Numbers & Facts
| Location | Woburn, MA |
Description
SENIOR AZURE DEVOPS / AI PLATFORM ENGINEER
Client: Northern Bank & Trust Company
Location: Woburn, MA
Schedule: 5 Days Onsite
Experience: 15+ Years Overall Experience
Work Authorization: W2 ONLY | USC / H4EAD
Interview Process:
1st round
2nd round in person panel interview
Updated priority criteria: Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry should be treated as must-have/priority experience, along with strong hands-on Azure DevOps, Terraform/IaC and CI/CD. Do not send AWS-heavy profiles. Need Azure-specific platform/DevOps engineers, not AI/ML developers.
About the role:
Existing contractor is supporting the Azure environment for AI and data initiatives; new hire will complement their skill set and fill gaps across the Azure platform.
Microsoft Purview is a key need, particularly around AI/data governance.
5 days/week onsite in Woburn, MA
Existing contractor is interested in staying but is not looking to convert; new hire has potential to convert.
Must-have / priority experience:
Microsoft Purview
Microsoft Fabric / OneLake
Azure AI Foundry
Strong hands-on Azure
Azure DevOps / CI/CD / YAML
Terraform / Infrastructure as Code
Azure networking, security and identity
Day-to-day:
Build, automate, secure, deploy, monitor and govern the Azure platform supporting AI and data workloads.
Ideal profile:
Senior-level, hands-on Azure Platform / DevOps Engineer supporting enterprise AI and data workloads. Strong Terraform, Azure DevOps/CI/CD, Azure networking, security and identity are required. Purview experience is important, with Fabric/Foundry experience being a key differentiator/priority. The person will complement the existing engineer and fill gaps across Azure platform engineering, governance, security and AI infrastructure.
**This is NOT primarily an AI/ML developer role; it is an Azure platform engineering role supporting AI-enabled applications**
Job Description
Senior Azure DevOps / AI Platform Engineer
Candidates with strong Azure experience are encouraged to apply. This role requires hands-on Azure production experience; candidates whose background is primarily AWS are not the target profile for this position.
Location: Woburn, MA
Schedule: 5 days onsite
Employment Type: Contract, 6+ months with potential for extension/conversion
About the Role
We are seeking a Senior Azure DevOps / AI Platform Engineer to help build, automate, secure, and operate enterprise Azure infrastructure supporting AI, data, and cloud-native workloads.
This is a hands-on Azure platform engineering role, not an AI/ML development position. You will work alongside an existing Azure engineer and help fill gaps across Azure infrastructure, DevOps, governance, security, and AI platform capabilities.
The ideal candidate has strong core Azure engineering experience combined with hands-on exposure to Microsoft Purview, Microsoft Fabric/OneLake, and Azure AI Foundry.
What You'll Do
Build, automate, secure, and operate enterprise Azure infrastructure
Develop and maintain Terraform-based Infrastructure as Code
Build and manage Azure DevOps YAML CI/CD pipelines
Support Azure AI Foundry, Microsoft Fabric/OneLake, Purview, and related AI/data platform services
Design and maintain Azure networking including VNets, subnets, NSGs, private endpoints, DNS, routing, and firewall integration
Implement Entra ID, Azure RBAC, identity, and access controls
Manage Key Vault and secure secrets
Support secure deployments across Development, Test, and Production environments
Monitor Azure environments using Azure Monitor and Log Analytics
Implement cloud governance and security controls
Troubleshoot complex Azure platform and infrastructure issues
Partner with application, cybersecurity, networking, data, architecture, and governance teams
Develop technical documentation, runbooks, architecture diagrams, and operational procedures
What We're Looking For
5+ years of experience in Cloud Engineering, DevOps, DevSecOps, SRE, or Platform Engineering
3+ years of hands-on Azure production experience
Strong Azure DevOps and CI/CD experience
Strong Terraform / Infrastructure as Code experience
Strong Git and YAML pipeline experience
Experience with Azure networking and secure cloud architecture
Experience with Entra ID / Azure RBAC
Experience with Key Vault
Experience with Azure Monitor / Log Analytics
Strong troubleshooting and problem-solving skills
Experience operating Azure environments across Development, Test, and Production
Ability to work across application, cybersecurity, networking, data, architecture, and governance teams
Priority Experience
The following experience is particularly important for this role:
Microsoft Purview
Microsoft Fabric / OneLake
Azure AI Foundry
Additional valuable experience includes:
Azure OpenAI
Azure AI Search
API Management
AKS / App Services
Azure Policy
GitOps
Bicep
PowerShell
Python
Containerization
Enterprise AI governance
The Right Fit
The ideal candidate is a strong Azure platform/DevOps engineer who understands how to build the infrastructure layer supporting AI and data workloads.
You should be comfortable discussing how you would securely deploy AI or data workloads across Azure environments using infrastructure as code, CI/CD, identity, networking, security controls, monitoring, and governance.
This is not primarily an AI/ML developer role. We are looking for someone whose strength is Azure platform engineering, with Fabric, Foundry, and Purview experience being especially valuable.
Job Responsibilities
What You'll Do
Build and maintain Azure infrastructure supporting enterprise AI and data workloads
Develop and maintain Terraform infrastructure modules
Build and manage Azure DevOps CI/CD pipelines
Support Microsoft Fabric, Azure AI Foundry, and related platform environments
Implement Azure security, identity, networking, and governance controls
Manage deployments across Dev, Test, and Production environments
Monitor platform performance, availability, cost, and resource utilization
Troubleshoot complex Azure infrastructure and deployment issues
Implement cloud governance using tools such as Azure Policy and Microsoft Purview
Partner with cybersecurity, data, application, networking, and architecture teams
Develop technical documentation, standards, and operational procedures
Rachael
IT Services | Development | Staffing
Email:
rachael@sidramtech.com
Direct: 470-523-9688