Senior Software Engineer, Cloud Data Automation

University of Chicago; United States; Remote; USD 150,000 - 170,000; Full time

Job summary

Globus, a nonprofit within The University of Chicago, seeks a senior Python engineer to design and deliver scalable data management and automation services on our hosted platform. You will architect features, develop high‑quality software, and operate services with high availability.

You will work across AWS, Azure, and Google Cloud, building RESTful APIs and data pipelines, guiding best practices, and mentoring peers in a mission‑driven environment that accelerates scientific research.

Qualifications

• Bachelor's degree or higher in a related field.
• 5–7 years in software engineering; 10+ years preferred for senior roles.

Responsibilities

• Architect secure, scalable data access services and APIs.
• Develop, test, document, deploy, and maintain cloud-based software on SaaS/PaaS platforms.
• Lead reviews and mentor junior engineers to ensure quality.
• Collaborate with support and professional services teams and end users.

Skills

Python

REST APIs

SQL Databases

AWS

OpenAPI

Linux

Docker & Kubernetes

CI/CD

Security (OAuth2/SAML/OIDC)

FastAPI/Flask

Testing & CI Tools

Shell Scripting

Web Security

Education

Degree in related field

Tools

Docker

Kubernetes

AWS Services (IAM, boto3, S3)

Job description

Globus, a nonprofit within The University of Chicago, seeks a senior Python engineer to design and deliver scalable data management and automation services on our hosted platform. You will architect features, develop high‑quality software, and operate services with high availability.

You will work across AWS, Azure, and Google Cloud, building RESTful APIs and data pipelines, guiding best practices, and mentoring peers in a mission‑driven environment that accelerates scientific research.