Department
BSD PED - Hematology, Oncology, and Stem Cell Transplantation - Pediatric Cancer Data Commons - Software Engineering
About the Department
Job Summary
Our department follows a hybrid work structure that fosters productivity, collaboration, and employee well-being. Working from the office is encouraged for tasks that require a high degree of collaboration.
This at-will position is fully funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities
Deployment of applications in both production and non-production environments.
Maintain and update current infrastructure. (Updating Dockerfiles, and services versions, like Kubernetes and elasticsearch).
Implement automated testing and deployment pipeline(s) (like Jenkins).
Manage IAM in the team to the different resources (for instance access and permission to AWS accounts).
Improve deployment scripts and general automation.
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 WebServices, Microsoft Azure, and Google Cloud.
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
Education:
Bachelor's degree in computer science or similar field.
Experience:
5 or more years of professional work experience as a DevOps Engineer.
Professional experience utilizing a cloud services provider.
Proficiency in CI/CD tools within a professional setting.
Strong background in network technologies.
Familiarity with continuous testing tools in a professional capacity Proficient in shell scripting for automation tasks.
Preferred Competencies
Professional experience with Terraform and/or CloudFormation.
Professional experience with Amazon Web Services (AWS).
Proficiency in Kubernetes, Docker, and Karpenter.
Strong scripting skills, preferably with Bash or similar languages.
Experience in systems administration (e.g. Linux servers).
Experience with Python or similar scripting languages would be advantageous.
Working Conditions
This position will be eligible for an alternative work arrangement.
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 Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, 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.
Staff 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.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
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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