TELECOMMUTE Sr. DevOps AI Analyst

(Client) looking for a senior-level DevOps consultant with experience in Azure DevOps, DevOps architecture, and best practices. (Client) has a variety of efforts of different sizes, including automating access information in Terraform and Key Vault; creating and modifying CI/CD pipelines in Azure; developing PowerShell scripts to stand up a DevOps shield agent; and supporting various GitHub processes and other automation opportunities.

• Strong experience building, operating, and enabling AI agents, intelligent automation, and AI-assisted development workflows.
• Hands-on experience with Microsoft Copilot, GitHub Copilot, Copilot Studio, or similar AI-assisted engineering tools.
• Deep mastery of Azure DevOps and modern DevOps practices, including CI/CD, Git, GitHub, infrastructure as code, automation, and platform reliability.
• Expert-level experience within the Microsoft ecosystem, including Azure, Azure DevOps, GitHub Enterprise, and Azure-native services.
• Strong understanding of LLM concepts, agent orchestration frameworks, and prompt engineering (e.g., LangChain, AutoGen, CrewAI).
• Experience operationalizing AI and ML systems, including deployment, monitoring, governance, and lifecycle management.
• Expertise in infrastructure as code using Terraform, Bicep, ARM templates, or similar frameworks.
• Advanced experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong programming and automation skills using Python, PowerShell, Bash, or similar languages.
• Experience implementing observability solutions using Azure Monitor, Log Analytics, Application Insights, or equivalent tools.
• Advanced Git usage, branching strategies, and pull request workflows.
• Strong understanding of security, identity, and compliance considerations in cloud and AI-enabled environments.
• Proven ability to lead, enable, and influence DevOps and AI adoption across multiple teams.

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field required; an equivalent combination of education and experience may be considered.

Relevant certifications preferred, such as:

• Microsoft Certified: Azure DevOps Engineer Expert
• Microsoft Certified: Azure AI Engineer Associate
• Kubernetes certifications (CKA, CKAD)
• Azure or GitHub architecture certifications

Experience *

• 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or related roles supporting complex, cloud-based environments.
• 3+ years of hands-on experience enabling or supporting AI-driven systems, intelligent automation, or AI-assisted development in production environments.