Research Software Engineer at The University of Chicago in Chicago, Illinois

Job Description:

Department



PSD Computer Science: Keahey Group



About the Department



The Nimbus team (nimbusproject.org) is an academic leader in cloud computing research, development, and operations. We work closely with scientific communities to provide innovative solutions adapting cloud computing to the needs of science. Among others, we operate Chameleon (www.chameleoncloud.org), an experimental platform for Computer Science systems research where new solutions in cloud computing, machine learning, software defined networking (SDN), and Internet of Things (IoT) are proposed every day by an international research community. The Nimbus team provides a friendly, challenge-oriented environment.



Job Summary



Will work on the intersection of development, research, and operations, discovering new requirements through working with scientific users, designing and building solutions that change the way science is done, deploying and operating them, and then supporting and interacting with their users to build communities around them.



Responsibilities

• Helps build and operate the Chameleon experimental platform (www.chameleoncloud.org): specific tasks may range from integrating state-of-the-art technologies such as disaggregated hardware or IoT devices, evaluating and extending open-source systems and tools such as OpenStack, and new feature development -- to system upgrades and maintenance, or implementing security controls.
  
  


• Works directly with users as a technical consultant to answer their questions, troubleshoot issues, and see how the work is impacting their science daily.
  
  


• Collaborates with scientific application groups nationwide, work as part of a large supercomputing center and an outstanding academic institution.
  
  


• Shares experiences with wider community by contributing to papers as part of a research team that regularly publishes in various academic venues.
  
  


• Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
  
  


• Supports and maintains existing applications. Works with web developers and responds to requests from users.
  
  


• Perform other related work as needed.
  
  

Minimum Qualifications




Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:




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Preferred Qualifications




Education:

• Bachelor's degree in computer science or another relevant computer-related field.
  
  

Experience:

• Demonstrated programming experience (development, debugging, and maintenance).
  
  


• Experience with IaaS cloud systems, such as OpenStack or Amazon Web Services, and relevant technologies.
  
  


• Experience with system administration.
  
  


• Interest and experience in systems research and working on challenges that don't have obvious solutions.
  
  


• Demonstrated contributions to open-source software.
  
  


• Experience with distributed systems, performance analysis, and resource and/or data management systems.
  
  

Technical Knowledge or Skills:

• Knowledge of Unix/Linux.
  
  


• Python programming skills.
  
  


• Familiarity with system administration tools (e.g., Ceph, MariaDB) and DevOps tools (e.g., Jenkins, Ansible) and virtualization or containerization technologies (e.g., KVM, Docker).
  
  


• Familiarity with front-end technologies, portal development, and Jupyter.
  
  

Preferred Competencies

• Excellent verbal and written communication skills.
  
  


• Analytical and problem-solving skills.
  
  


• Ability to think and work independently to develop exceptional technical solutions.
  
  


• Ability to identify similar or complementary commercial or academic solutions and read scientific literature to fill in knowledge gaps as needed.
  
  


• Ability to prioritize and manage workload to meet critical project milestones and deadlines.
  
  

Working Conditions

• Ability to work in a collaborative (potentially remote) team environment.
  
  


• Ability to work on a flexible schedule which will include occasional late night and/or weekend hours.
  
  


• Sense of humor appreciated.
  
  

Application Documents

• Resume (required)
  
  


• Cover Letter (preferred)
  
  

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.



Job Family



Information Technology



Role Impact



Individual Contributor



FLSA Status



Exempt



Pay Frequency



Monthly



Scheduled
Weekly Hours



37.5



Benefits Eligible



Yes



Drug Test Required



No



Health Screen Required



No



Motor Vehicle Record Inquiry Required



No



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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