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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure DevOps / AI Platform Engineer - **Company:** Sidram Technologies - **Location:** Woburn, MA, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Continuous Integration, Data Governance, Data Infrastructure, DevOps, Domain Name System (DNS), Subnetting, Log Analysis, Machine Learning, Microsoft Software, Routing, Role-Based Access Control, Reliability Engineering, OpenAI, Azure DevOps Pipelines, YAML, AI Infrastructure, Delivery Pipeline, Software Troubleshooting, Firewalls (Computer Science), Git, Microsoft Fabric, AI Platforms, Terraform, Devsecops, Api Management, Key Vault - **Published:** November 8, 2026 - **Apply:** https://www.careerbuilder.com/job-details/azure-devops-ai-platform-engineer-woburn-ma--bb721851-5a45-46ae-a158-5fddc58a4f7f ## About the Role DevOps, Artificial Intelligence (AI), Microsoft Windows Azure, Microsoft Windows Azure, Artificial Intelligence (AI), DevOps, Microsoft Product Family, Cloud Computing, Security Infrastructure, Engineering, 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., 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., 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., 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, 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. ## Description 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., 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, 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