> Markdown version of [/jobs/ext/3129186-ai-expert-devops-engineer](https://www.wearedevelopers.com/jobs/ext/3129186-ai-expert-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Expert DevOps Engineer - **Company:** Thomas Jefferson University - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Backup Devices, Cloud Computing, Cloud Engineering, DevOps, Disaster Recovery, Distributed Systems, Release Management, Cloud Services, Software Engineering, Software Systems, Systems Integration, Enterprise Software Applications, Delivery Pipeline, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Bicep, Terraform, Azure Resource Manager, Docker - **Published:** September 28, 2026 - **Apply:** https://www.dice.com/job-detail/24e1e6d2-36c0-4adb-8b58-81fcd1ae7d97 ## About the Role * Bachelor's Degree in Computer Science, Engineering, or related field or * High School Diploma/GED and 10 years preferred work experience. * 7 years in software development, including experience with distributed systems and cloud platforms. * Strong hands-on experience with Microsoft Azure cloud infrastructure and services * Experience building and maintaining CI/CD pipelines and deployment automation for enterprise applications * Experience with infrastructure as code (e.g., Terraform, Bicep, ARM templates) and containerization (e.g., Docker, Kubernetes) * Experience implementing monitoring, observability, and incident response tooling for production environments * Demonstrated ownership of platform security, compliance, availability, and resiliency practices * Track record of operating and scaling cloud platforms in a senior/expert capacity, including disaster recovery and business continuity planning * Roughly 5+ years of relevant DevOps/platform/cloud engineering experience, or equivalent depth - exact tenure matters less than demonstrated ownership of complex, production-scale cloud platforms, * Master's Degree in Computer Science, Engineering, or related field * 10 years with a track record of solving complex technical challenges and mentoring engineers. * Experience supporting AI-assisted or AI-generated software delivery environments specifically * Experience integrating DevOps pipelines with enterprise AI platforms or AI development tooling * Healthcare or other regulated-industry background * Relevant certifications (Azure, Kubernetes, DevOps/SRE-related) * Experience establishing platform engineering standards or self-service developer platforms across multiple teams * Experience optimizing cloud cost/utilization at scale Physical Demands Lift and carry 25 lbs. frequent sitting/standing, frequent keyboard use, *patient care providers may be required to perform activities specific to their role including kneeling, bending, squatting and performing CPR. ## Description The Expert Software Engineer is responsible for managing cloud infrastructure, deployment automation, testing frameworks, observability, security controls, and release management across AI-enabled application environments. The AI Expert DevOps Engineer will own the platform engineering foundation behind Jefferson's Azure-hosted AI Factory - enabling faster, safer, and more reliable delivery of AI-generated and AI-assisted applications at enterprise scale., Manage Azure-hosted AI Factory environments and related software solutions Build and maintain deployment pipelines supporting AI-assisted development Automate testing, release validation, and governance controls Implement monitoring, observability, operational intelligence, and incident response capabilities Manage containerization, CI/CD pipelines, infrastructure as code, and platform automation Support integration with enterprise AI platforms, development environments, and cloud services Ensure enterprise security, compliance, availability, resiliency, and scalability standards are maintained Establish and maintain platform engineering standards, deployment patterns, and operational best practices for AI-generated applications Optimize cloud resource utilization, platform performance, and operational costs across AI Factory environments Implement disaster recovery, business continuity, backup, and high-availability capabilities for critical AI services Collaborate with Architecture, Security, Infrastructure, and Development teams to enable secure, scalable AI software delivery Evaluate and adopt emerging DevOps, automation, and cloud engineering capabilities that improve software delivery effectiveness