Azure AI Application Platform & DevSecOps Engineer

Osborn & Holloway is seeking a Senior Azure AI Application Platform & DevSecOps Engineer to design and build a governed internal AI application incubation platform in Microsoft Azure. The role focuses on automating Azure provisioning, security and governance guardrails, DevSecOps and application lifecycle processes, and integrations that let business users create applications safely.

Responsibilities:

• Design the Azure architecture supporting the application incubation environment
• Develop approved deployment patterns for common categories of internally generated web applications
• Automate provisioning and configuration of Azure resources required by generated applications
• Establish appropriate patterns for Resource Groups, application hosting, storage, databases, APIs, identities, networking, monitoring, and supporting services
• Develop reusable infrastructure components using Infrastructure as Code
• Use Bicep, Terraform, or other approved technologies to make infrastructure provisioning repeatable and auditable
• Establish naming, tagging, ownership, lifecycle, and cost-management standards for generated resources
• Design secure authentication and authorization patterns using Microsoft Entra ID
• Automate appropriate use of managed identities, app registrations, service principals, and RBAC
• Establish automated Key Vault and secrets-management patterns
• Prevent generated applications from adopting unsafe credential, secret-storage, or access-control practices
• Incorporate Azure Policy and other governance mechanisms into the incubation environment
• Establish appropriate security scanning, package/dependency validation, and code-quality controls
• Collaborate with security and infrastructure stakeholders to define boundaries within which citizen-generated applications may operate
• Design technical controls that prevent generated applications from bypassing required governance
• Design automated source-control and CI/CD patterns for generated applications
• Integrate the platform with Azure DevOps repositories, work items, pipelines, and release processes
• Establish standardized DEV, test/UAT, and production deployment patterns
• Build automated quality, security, and approval gates into application promotion
• Ensure generated applications remain traceable, supportable, and recoverable
• Develop rollback, backup, monitoring, logging, and operational-support patterns
• Automate creation of appropriate deployment and operational documentation
• Establish lifecycle processes for application ownership transfer, retirement, and resource decommissioning
• Work with the AI Application Platform Engineer to translate enterprise engineering standards into automated platform rules
• Define which architectural decisions may safely be made automatically and which require human review
• Establish thresholds that determine when a self-service application must “graduate” into formal architecture, security, engineering, or governance review
• Consider factors including data sensitivity, regulatory implications, external exposure, integration complexity, transaction volume, business criticality, and user population
• Build mechanisms that prevent an application from progressing when required controls have not been satisfied
• Ensure the platform can explain why an application has been stopped, escalated, or routed for additional review
• Maintain sufficient full-stack development capability to understand and troubleshoot applications produced by the incubation platform
• Develop APIs and platform services required to connect AI orchestration, application generation, Azure provisioning, and DevOps automation
• Collaborate on reusable application components and architectural templates
• Support integrations with approved Microsoft enterprise services and business systems
• Participate directly in troubleshooting generated applications when failures span application, infrastructure, identity, security, or deployment boundaries

Requirements:

• Significant professional experience with Microsoft Azure architecture and engineering
• Strong understanding of Azure identity, security, networking, compute, storage, application hosting, and data services
• Hands-on experience with Microsoft Entra ID, RBAC, managed identities, app registrations, and enterprise authentication patterns
• Experience with Azure Key Vault and secure secrets-management practices
• Strong Infrastructure-as-Code experience using Bicep, Terraform, or comparable technologies
• Strong Azure DevOps experience, including repositories, pipelines, and application lifecycle management
• Practical experience designing CI/CD and DevSecOps processes
• Working full-stack development knowledge sufficient to understand modern web applications, APIs, databases, and application architecture
• Strong understanding of SDLC, environment management, testing, release management, and production-support principles
• Familiarity with Agile development methodologies
• Strong written and verbal English communication skills
• Ability to work independently while collaborating closely with another senior engineer across overlapping areas of responsibility
• Relevant Microsoft Azure certifications
• Experience with Azure OpenAI or AI-enabled application platforms
• Experience developing internal developer platforms, application factories, self-service provisioning systems, or Platform Engineering capabilities
• Experience with Azure Policy and enterprise cloud governance
• Experience with Microsoft Power Platform, Dataverse, Power Automate, or other low-code/no-code technologies
• Experience with application observability, Application Insights, Log Analytics, and automated operational monitoring
• Experience designing systems in regulated, healthcare, financial, or other security-conscious environments
• Experience with secure software supply-chain practices and automated vulnerability management
• Familiarity with FinOps and cloud cost-governance principles