DevOps Engineer Job Mitchell area,South Dakota USA,IT/Tech

This position is in Mitchell, SD. Remote work is not available for this position.

When you are part of the Innovative team as a Dev Ops Engineer, you will:

Design, implement, and maintain robust CI/CD pipelines using Azure Dev Ops, including supporting deployment workflows for AI-powered applications
Collaborate with development, QA, and IT teams to automate and streamline deployment processes for both traditional and AI-driven solutions
Manage and optimize Azure infrastructure and services to ensure high availability, scalability, and security
Support AI-enabled application architectures, including retrieval-based solutions, model-driven workflows, and platforms such as Microsoft Foundry and Azure AI Search
Develop and maintain Infrastructure as Code (IaC) scripts, with a preference for Bicep, to provision and manage Azure resources and AI service integrations
Monitor and troubleshoot system performance, reliability, and security issues across both standard and AI-enabled environments
Provide ongoing support and maintenance for deployed applications, infrastructure, and AI services
Stay updated with the latest industry trends in Azure, Dev Ops, and AI technologies (including Microsoft Foundry and Azure AI Search) to continuously improve our processes and solutions

These are skills that we are looking for in our ideal candidate:

Bachelor’s degree in computer science or related field
Strong proficiency in C#
Effective communication and collaboration skills
Proven experience as an Azure Dev Ops Engineer or similar role
Strong proficiency with Azure Dev Ops and CI/CD pipeline creation and management
Proficient in Infrastructure as Code (IaC) with a preference for Bicep
Solid understanding of version control systems, particularly Git
Excellent problem-solving skills and ability to troubleshoot complex issues
Experience supporting or deploying AI-enabled applications within Azure environments
Familiarity with Microsoft Foundry (Azure AI Foundry) and Azure AI Search concepts and their role in modern AI-powered solutions

These skills would be helpful but are not required:

Telecommunications industry experience
Understanding of Microsoft SQL Server and relational databases
Familiarity with monitoring tools and practices (e.g., Azure Monitor, Application Insights)
Experience with containerization tools (e.g., Docker, Kubernetes)
Exposure to RAG architectures or AI-driven data retrieval patterns
Experience working with Azure AI Search (indexing, querying, or integration with applications)
Familiarity with Microsoft Foundry or similar AI development platforms

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