The Center for Translational Data Science at the University of Chicago is seeking a Staff Platform Engineer to architect ecosystems of large-scale research data and computing resources
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Platform Engineer to architect ecosystems of large-scale research data and computing resources.
This role involves providing production support, designing CI/CD pipelines for hybrid cloud architectures, and managing AI/ML infrastructure including GPU resources and AWS services.
The position offers a competitive salary range of $100,000 to $140,000 along with comprehensive benefits including health, retirement, and paid time off.
Matching Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Platform Engineer to architect ecosystems of large-scale research data and computing resources.
Salary
Base: $100,000.00 - $140,000.00; Bonus/Equity: Not specified; Benefits: Health, retirement, and paid time off included
Skills & Requirements
Must-have
5-7 years DevOps or system engineering experience
Hands-on scripting with Bash and Python
Unix/Linux system administration expertise
AWS cloud technologies including EC2 and S3
Container deployment with Docker and Kubernetes
CI/CD pipeline design and implementation
AI/ML infrastructure management and optimization
Nice-to-have
Experience with OpenStack cloud platform
Knowledge of configuration management tools like Ansible
Familiarity with load balancing technologies such as F5
Experience with log aggregation tools like ELK stack
Understanding of security frameworks like FISMA and NIST
Ability to mentor interns and junior team members
Background in translational data science environments
Key Requirements
College degree in related field required
6+ years professional experience as system or DevOps engineer preferred
Advanced degree in computer science or quantitative field strongly preferred