Senior DevOps Engineer
University of Chicago
Department
BSD CRI - Applications Development
About the Department
Job Summary
Responsibilities
Design, implement, and maintain CI/CD pipelines (Azure DevOps Pipelines).
Containerize services and manage infrastructure using Docker, Podman, or OpenShift.
Standardize deployment processes and environments across multiple applications.
Integrate with institutional IAM systems (e.g., Okta, Shibboleth) and data services.
Collaborate with developers and platform engineers to improve deployment reliability and developer experience.
Automate backups, logging, and monitoring for platform health and disaster recovery.
Collaborate with the platform team to define and begin implementing our CI/CD and container orchestration strategy — laying the groundwork for secure, automated deployments.
Document workflows, configurations, and deployment practices in support of HIPAA-aligned infrastructure.
Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Experience:
5+ years of experience in DevOps, SRE, or infrastructure automation.
Experience in research, healthcare, or academic IT is a plus.
Education:
Bachelor’s and/or Master’s in a technical discipline such as Computer Science or Software Engineering.
Technical Skills or Knowledge:
Deep knowledge of containerization, CI/CD, and system provisioning.
Experience with Azure DevOps Pipelines or similar CI/CD platforms.
Comfortable managing Linux and Windows servers in production environments.
Familiarity with infrastructure-as-code (e.g., Ansible, Terraform, or equivalents).
Preferred Competencies
Strong scripting skills (Bash, PowerShell, Python, etc.).
Excellent collaboration and communication skills.
Working Conditions
This position can be remote or hybrid, with flexibility available by mutual agreement and in accordance with university policy.
Application Documents
Resume (required)
Cover letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
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.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity 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.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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