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Azure DevOps / AI Platform Engineer

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Onsite

Azure DevOps / AI Platform Engineer

SIDRAM TECHNOLOGIES

Azure DevOps / AI Platform Engineer

Skills

PythonDevOpsCybersecurityData AnalysisMachine LearningAIAWSTerraformAzure

16 days ago

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Important information


Contract type:

Permanent

Location:

Woburn, MA, USA

Work mode:

Onsite

Published on:

7 October 2026

What they need


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: [email protected]** Direct: 470-523-9688

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