Expert Software Engineer – AI DevOps
Job in
Fort Washington, Prince George's County, Maryland, 20749, USA
Listed on 2026-09-29
Listing for:
Jefferson
Full Time
position Listed on 2026-09-29
Job specializations:
-
IT/Tech
SRE/Site Reliability, Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Requisition 0
Job Details 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 Dev Ops 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.
Job Description Summary 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 Dev Ops 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.
Job Duties
· 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 Dev Ops, automation, and cloud engineering capabilities that improve software delivery effectiveness
Minimum Qualifications Bachelor’s Degree in Computer Science, Engineering, or related field orHigh 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 Dev Ops/platform/cloud engineering experience, or equivalent depth — exact tenure matters less than demonstrated ownership of complex, production-scale cloud platforms
Preferred Qualifications 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 Dev Ops pipelines with enterprise AI platforms or AI development tooling
Healthcare or other…
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