Information Systems Architects

Department 00640 - CHPC Ctr for High Performance Computing

Location:

Location Campus
City:
Salt Lake City, UT
Type of Recruitment:
External Posting
Pay Rate Range: 58,
Close Date: 03/18/2026
Priority Review Date (Note - Posting may close at any time)

Job Summary:

We seek an experienced Private Cloud Architect to architect and manage our private cloud infrastructure, focusing specifically on high-performance AI/ML workloads and inference. This role will build and optimize Kubernetes clusters, drive cloud-native automation via CI/CD pipelines, and explore advanced Software-Defined Infrastructure (SDN, SDS, SDSec) and serverless concepts to deliver a resilient on-premises platform. This position will be with the Center for High Performance Computing (CHPC), in an important and growing academic computing center that serves researchers and educators at the University of Utah and beyond.

• Kubernetes for AI/ML: Design and deploy highly available Kubernetes clusters, optimized for GPU utilization and AI/ML training/inference.
• Cloud-Native Automation: Architect and implement end-to-end CI/CD pipelines (e.g., Git Lab, ArgoCD, Jenkins) and automated infrastructure deployment.
• Infrastructure Strategy: Define the technical roadmap for the on-premises cloud environment and drive adoption of best practices.
• Software-Defined Infrastructure: Evaluate and implement advanced SDN, SDS, and SDSec solutions.
• IaC Implementation: Develop and maintain all infrastructure using Infrastructure as Code (e.g., Terraform, Ansible).
• Performance Tuning: Collaborate with ML teams to optimize cluster and resource performance for maximum job throughput.
• Security & Compliance: Ensure platform architecture meets all security standards and compliance requirements set by internal security/compliance teams (e.g., HIPAA, NIST 800-171).
• Technical Leadership: Create architecture documentation, help create roadmaps with input from multiple teams, mentor engineering staff, and potential collaboration on grants and other funding requests.

• Experience: 6+ years in infrastructure, cloud architecture, or systems engineering.
• Kubernetes: Deep, production-level experience designing and operating bare-metal/on-prem Kubernetes.
• AI/ML Support: Direct experience configuring infrastructure (GPU virtualization/passthrough) for containerized AI/ML workflows.
• Core Infrastructure: Strong command of enterprise networking, load balancing, and SDS/storage solutions (e.g., Ceph).
• Automation/IaC: Extensive hands-on experience with Terraform, Ansible, and other IaC/configuration management tools.
• CI/CD: Proven background in implementing and managing CI/CD pipelines for cloud-native applications.

• Expertise in Software-Defined Networking (SDN) (e.g., Cilium, Calico).
• Familiarity with on-prem Serverless technologies (e.g., Knative, OpenFaaS).
• Experience implementing security controls via SDSec and Kubernetes policies (e.g., OPA / Gatekeeper).
• Relevant professional cloud or Kubernetes certifications (CKA, CKAD, etc.).
• Familiarity with workflows used by research computing.
• Proficiency in scripting or programming (Python, Go) for custom automation.

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at  for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions.

Please contact Utah Retirement Systems at  or  or University Human Resource Management at  if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah…