Platform Engineer - Cloud, Kubernetes & Full-Stack

University of Chicago; Chicago (IL); On-site; USD 92,996 - 130,203; Full time

Job summary

The University of Chicago's Center for Translational Data Science seeks a Temporary Platform Engineer with full-stack and infrastructure focus. You will optimize hybrid and public cloud infrastructure, work across backend and frontend code, and drive efficiency in AWS EKS and ArgoCD pipelines.

This six-month role requires a strong systems mindset, collaboration with data scientists and engineers, and hands-on experience with Kubernetes, Python/Go, Next.js, and serverless AWS services.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• Strong AWS EKS & ArgoCD production experience.
• Proficient in Python and/or Go.
• Frontend experience with Next.js required.
• Knowledge of AWS services including Lambda and serverless architectures.

Responsibilities

• Infrastructure & GitOps: Manage, optimize, and troubleshoot Kubernetes clusters using AWS EKS and drive continuous delivery via ArgoCD.
• Full-Stack Development: Write, review, and debug application code across our ecosystem—supporting both backend services and frontend user interfaces.
• CI/CD & Automation: Design, maintain, and improve robust CI/CD pipelines across commercial cloud environments (primarily AWS).
• Production Support: Triage, research, and mitigate complex production incidents, utilizing monitoring tools to proactively ensure platform stability.
• Technical Problem Solving: Identify opportunities for performance optimization, security automation, and technical improvements within the production ecosystem.

Skills

AWS EKS

ArgoCD

Python

Go

Next.js

AWS Lambda

Serverless

Security networking

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical field

Job description

The University of Chicago's Center for Translational Data Science seeks a Temporary Platform Engineer with full-stack and infrastructure focus. You will optimize hybrid and public cloud infrastructure, work across backend and frontend code, and drive efficiency in AWS EKS and ArgoCD pipelines.

This six-month role requires a strong systems mindset, collaboration with data scientists and engineers, and hands-on experience with Kubernetes, Python/Go, Next.js, and serverless AWS services.