Drimva

Jefferson Health

Expert Software Engineer – AI DevOps

1100 Virginia Drive · Full-time · Posted Sep 26, 2026

Experience
7 years in software development; roughly 5+ years of relevant DevOps/platform/cloud engineering experience, or equivalent depth. The posting also lists 10 years of preferred work experience as an alternative to the degree requirement.
Education
Bachelor’s Degree in Computer Science, Engineering, or related field, or High School Diploma/GED and 10 years preferred work experience.

About the job

Owns and operates the Azure-hosted AI Factory platform, enabling secure, reliable delivery of AI-generated and AI-assisted applications at enterprise scale.

What you'll do

  • Manage Azure infrastructure, deployment pipelines, testing, observability, security, and release operations for AI environments.
  • Automate platform operations, governance, disaster recovery, and business continuity while optimizing performance and cloud costs.
  • Set platform engineering standards and collaborate across teams to support secure, scalable AI software delivery.

What they ask for

  • 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 distributed systems and cloud platforms.
  • Hands-on Microsoft Azure experience and experience with enterprise CI/CD, deployment automation, infrastructure as code, and containerization.
  • Experience with production monitoring, observability, incident response, and ownership of platform security, compliance, availability, resiliency, and disaster recovery.

Nice to have

  • Master’s degree in Computer Science, Engineering, or related field; 10 years solving complex technical challenges and mentoring engineers.
  • Experience with AI-assisted or AI-generated software delivery, enterprise AI tooling, regulated industries, relevant certifications, platform standards, or cloud cost optimization.

Tools

Microsoft Azure, Terraform, Bicep, ARM templates, Docker, Kubernetes, CI/CD

AI focus

Build and operate the platform foundation for AI-generated and AI-assisted application delivery, including integration with enterprise AI platforms and development tooling.

Model-written summary · the original posting is authoritative

First seen Oct 14, 2026 · Last verified Nov 4, 2026 (UTC)