Senior AI DevOps Engineer - Azure Platform

Jefferson Health; Fort Washington (Montgomery County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Tuition assistance

Paid time off

Job summary

Jefferson Health seeks an Expert Software Engineer to own the Azure-hosted AI Factory platform, shaping cloud infrastructure, deployment automation, and release governance. You will collaborate with Architecture, Security, and Development teams to deliver scalable AI-enabled applications enterprise-wide.

You will drive observability, incident response, and cost-aware platform optimization while advancing containerization and IaC practices across complex production environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10 years preferred work experience and high school diploma acceptable with senior-tier experience.
• 7+ years in software development 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.
• Experience with infrastructure as code and containerization (e.g., Terraform, Bicep, ARM templates; Docker, Kubernetes).
• Experience implementing monitoring, observability, and incident response tooling.
• Demonstrated ownership of platform security, compliance, availability, and resiliency.
• Track record of operating and scaling cloud platforms in senior capacity; disaster recovery.

Responsibilities

• 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.
• Establish and maintain platform engineering standards and deployment patterns.
• Optimize cloud resource utilization, performance, and operational costs.
• Implement disaster recovery, business continuity, backup, and high-availability capabilities.
• Collaborate with Architecture, Security, Infrastructure, and Development teams.
• Evaluate and adopt emerging DevOps and cloud engineering capabilities.

Skills

Cloud infrastructure

Deployment automation

CI/CD pipelines

Observability

Security controls

Release management

Infrastructure as code

Containerization

Azure

Education

Bachelor’s Degree in Computer Science, Engineering, or related field

High School Diploma/GED and 10 years preferred work experience

Master’s Degree in Computer Science, Engineering, or related field

Tools

Terraform

Bicep

ARM templates

Docker

Kubernetes

Azure

Job description

Jefferson Health seeks an Expert Software Engineer to own the Azure-hosted AI Factory platform, shaping cloud infrastructure, deployment automation, and release governance. You will collaborate with Architecture, Security, and Development teams to deliver scalable AI-enabled applications enterprise-wide.

You will drive observability, incident response, and cost-aware platform optimization while advancing containerization and IaC practices across complex production environments.