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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Sr. DevOps AI Analyst - **Company:** Akaasa Technologies - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, Bash Shell, Microsoft Online Services, Cloud Computing, Computer Programming, Continuous Integration, DevOps, Github, Python (Programming Language), Log Analysis, Windows PowerShell, Reliability Engineering, Software Tools, Microsoft Power Automate, Cloud Monitoring, GitHub Copilot, System Availability, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Github Enterprise, Bicep, Terraform, Azure Resource Manager, Docker, Key Vault - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/35a6dbbf-8ec2-4799-8df3-2538eccc3f1c ## About the Role * 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. ## Description (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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)