Temporary Platform Engineer

Temporary Platform Engineer

The Center for Translational Data Science at the University of Chicago is seeking a highly skilled Temporary Platform Engineer with strong Full-Stack Development experience (or vice versa) for a focused, ~6-month engagement. The ideal candidate lives at the intersection of infrastructure and code. You will actively support, optimize, and scale our hybrid and public cloud infrastructure while writing and debugging application-level code.

Your core focus will be driving efficiency within our AWS EKS and ArgoCD pipelines, while seamlessly jumping into our backend and frontend codebases when need.

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

• Ability to hit the ground running with minimal hand-holding in a fast-paced research data environment.
• Strong collaborative skills to work alongside data scientists, researchers, and core engineering teams.
• Familiarity with open-source software development and maintenance.
• Ability to collaborate with team members and help define guidelines and best practices and ensuring accountability for deliverables and outcomes.
• Ability to take and provide constructive and helpful input and feedback on technical issues.
• Ability to negotiate complex decisions, present options and persuasively advocate for optimal technical solutions, internally and externally.
• Ability to take multiple complex tasks and break them into smaller ones, estimating the effort needed to complete them, prioritizing them appropriately, and ensuring the completion of each task, meeting the required level of quality.
• Ability to work in a collaborative team and ensure accountability for deliverables and outcomes.
• Ability to prioritize and manage workload to meet project milestones and deadlines.

Education:

• Bachelor's degree in Computer Science, Engineering, or a related technical field required.

Experience:

• Deep, hands-on production experience with AWS EKS and ArgoCD is required.
• Strong proficiency in Python and/or Go preferred.
• Solid experience with modern Java script frameworks, specifically Next.js is required.
• Strong technical knowledge of AWS services (including Lambda), serverless architectures, and secure networking is required.

Required Documents:

• Resume
• Cover Letter

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family:
Temporary Staff

Scheduled Weekly

Hours:

40

Pay Rate Type:
Salary

Pay Range: $ - $

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.

This position is not eligible for benefits.

The University of Chicago is an equal employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.