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Jefferson Health

Academic health system

Expert Software Engineer - AI DevOps

Platform EngineeringConfirmed live in the last 24 hours
Full-timeFort Washington, PA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor’s degree in Computer Science, Engineering, or a related field, or a high school diploma/GED and 10 years of preferred work experience.
  • Seven years of software development experience, 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, such as Terraform, Bicep, or ARM templates, and containerization, such as Docker or Kubernetes.
  • Experience implementing monitoring, observability, and incident response tooling for production environments.
  • Demonstrated ownership of platform security, compliance, availability, and resiliency practices.
  • A track record of operating and scaling cloud platforms in a senior/expert capacity, including disaster recovery and business continuity planning.
  • Roughly five or more years of relevant DevOps, platform, or cloud engineering experience, or equivalent depth, with demonstrated ownership of complex, production-scale cloud platforms.

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.
  • Maintain enterprise security, compliance, availability, resiliency, and scalability standards.
  • 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.

Desired Qualifications

  • A master’s degree in Computer Science, Engineering, or a related field.
  • Ten years of experience solving complex technical challenges and mentoring engineers.
  • Experience supporting AI-assisted or AI-generated software delivery environments.
  • Experience integrating DevOps pipelines with enterprise AI platforms or AI development tooling.
  • Healthcare or other regulated-industry background.
  • Relevant Azure, Kubernetes, or DevOps/SRE-related certifications.
  • Experience establishing platform engineering standards or self-service developer platforms across multiple teams.
  • Experience optimizing cloud cost and utilization at scale.

About the Company

Jefferson Health

Academic health system

Jefferson Health is an academic health system serving Philadelphia, South Jersey, and surrounding communities. The system delivers hospital, specialty, primary, emergency, outpatient, research, and professional education services across its care network. It serves patients, families, clinicians, students, researchers, and regional communities. Its operating model centers on clinical care integrated with university education, research, physician practices, and shared health-system operations. Teams work across nursing, physicians, allied health, research, education, technology, facilities, administration, and patient access. This structure supports consistent delivery across the organization.

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