Full-Time

Manager – Cloud & Research Computing Platforms

Deadline 6/11/26
University of Chicago

University of Chicago

Compensation Overview

$120k - $135k/yr

Chicago, IL, USA

In Person

Full-time on-campus presence required at Hyde Park campus.

Category
Engineering Management (1)
Required Skills
Computer Networking
Operating Systems
Linux/Unix
Requirements
  • Education: Minimum requirements include a college or university degree in related field.
  • Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Responsibilities
  • Leads the MANIAC Lab’s distributed computing and IT systems team, which is comprised of systems administrators and software engineers, overseeing Linux systems, cloud-native services, storage, networking, and cybersecurity.
  • Supports team development through training, mentorship, and continuous learning opportunities.
  • Develops clear technical plans, team goals, and operational milestones across all Lab-supported computing platforms.
  • Partners with the Principal Investigator to implement strategic upgrades and ensure reliable, efficient operation of the Lab’s cyberinfrastructure.
  • Guides modernization efforts, including automation, cloud-native adoption, and improved data-delivery workflows.
  • Collaborates with U.S. ATLAS, IRIS-HEP, and University partners to support shared operations and expand research capabilities.
  • Monitors system performance and applies proactive measures to improve reliability and scalability.
  • Engages with researchers to understand computing needs and deliver solutions that support data-intensive science.
  • Ensures adherence to best practices for network operations and cybersecurity.
  • Manages a single team's progress by maintaining accurate and up-to-date logs, ensures that all projects have the necessary management oversight and approvals for successful completion.
  • Ensures the implementation of approved best practices and information technology policies that result in the highest quality systems administration.
  • Manages the creation of standards and procedures to maintain production servers that run the operating system. Manages the installation, configuration, and maintenance of operating systems and utility software.
  • Performs other related work as needed.
Desired Qualifications
  • Bachelor’s degree in computer science or related field in the physical sciences.
  • Experience managing large-scale computing systems in academic, research, or enterprise environments.
  • Demonstrated leadership of technical staff and successful delivery of complex cyberinfrastructure projects.
  • Strong background in scientific or high-performance computing, distributed systems, and emerging cloud-native technologies.
  • Experience implementing modern operational practices such as container orchestration, automation, and advanced data-delivery services.
  • Familiarity with secure, policy-compliant operations, including network security and identity management.
  • Experience supporting large CPU/GPU clusters, multi-petabyte storage systems, and data-intensive workflows.
  • Proven ability to evaluate and integrate new technologies to enhance performance and efficiency.
  • Record of effective collaboration with external partners and participation in professional technical communities.
  • Strong leadership, communication, and collaboration skills, with the ability to work effectively with researchers, technical staff, and institutional partners.
  • Ability to operate in a dynamic research environment and stay current with advances in scientific and cloud-native computing.
  • Proficiency in managing Unix/Linux systems, distributed storage platforms (e.g., Ceph), and high-performance networking.
  • Familiarity with container orchestration and cloud-native technologies, including Kubernetes, CI/CD pipelines, and GitOps methodologies.
  • Strong analytical and problem-solving abilities, with experience diagnosing and resolving complex infrastructure challenges.
  • Experience applying automation, monitoring, and modern operational practices to improve system reliability and efficiency.
  • Demonstrated ability to guide teams, build consensus, and drive process innovation in multi-stakeholder technical environments.
University of Chicago

University of Chicago

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