Platform Engineer at University of Chicago

Compensation

$100,000 – $140,000/yr

Type: Full-time

Description

The Platform Engineer will provide production support, monitor systems, implement CI/CD pipelines, automate security, and manage AI/ML infrastructure for the Center for Translational Data Science (CTDS) at the University of Chicago. This role involves designing and implementing technical tasks, providing technical leadership, mentoring interns, and acting as a technical consultant for various projects.

Required Skills

Production Support
CI/CD Implementation
Security Automation
AI/ML Infrastructure Management
Unix/Linux System Administration
OpenStack/AWS EC2/S3 Technologies
Configuration Management Utilities
Container Deployment (Docker/Kubernetes)
Log Aggregation Tools

Additional Information

Minimum Education: College or university degree in a related field.
Required Previous Experiences: 5-7 years of work experience in a related job discipline.
Preferred Qualifications: Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field.
Hands-on scripting experience (Bash, Python, or other dynamic language).
Unix/Linux programming or system administration experience.
Experience with OpenStack and AWS p(EC2/S3) cloud technologies.
Experience with configuration management utility (Chef, Puppet, Ansible).
Experience with F5 or other load balancing technologies (Nginx, AWS ELB/ALB, etc.).
Experience with source control and build systems (SVN, Git, Jenkins, etc.).
Experience with container based deployment (Docker, Kubernetes).
Experience with log aggregation tools (ELK stack, Splunk).
Experience with security frameworks (FISMA, NIST, FIPS).
Experience with cloud platforms (AWS, GCP, Openstack), CI/CD, and Agile methodologies.
Experience leading DevOps initiatives and process improvement.
Experience with deploying, maintaining, and monitoring AI/ML models and infrastructure.