Lead Cloud Platform & Dev Ops Engineer

Position Summary

University Information Services (UIS) provides technical services and enterprise applications to the University of Colorado campuses and the Office of the President. UIS is committed to delivering reliable, secure, and scalable technology solutions that support academic, administrative, and research functions.

The Lead Cloud Platform & Dev Ops Engineer is responsible for leading the design, implementation, and support of cloud‑based platforms and Dev Ops practices that enable consistent and efficient delivery of applications and services. The role focuses on cloud platform architecture, infrastructure automation, CI/CD processes, system integration, and operational reliability.

This position supports the development and adoption of platform‑engineering practices, including infrastructure‑as‑code, containerization, and monitoring/observability solutions. The engineer also contributes to the implementation of automation and data‑driven technologies, including support for machine learning and intelligent automation workloads, in alignment with institutional standards and requirements.

The Lead Cloud Platform & Dev Ops Engineer collaborates with campus IT teams, information security, and other stakeholders to implement platform solutions that meet security, compliance, and operational needs. Responsibilities include supporting service reliability practices, contributing to technical standards and documentation, and assisting with the evaluation and adoption of new tools and technologies.

This position provides technical guidance to development and operations teams, supports onboarding and enablement efforts, and contributes to continuous improvement of platform services across multiple projects and technical environments.

Applicants must be Colorado residents or able to relocate to Colorado within a month of starting employment with the University of Colorado System Administration.

This role is eligible to work remotely within Colorado. Leadership may adjust in‑office work requirements with a minimum of three months' notice before any change can be implemented.

• Platform Architecture, Engineering & Delivery (60%)
  • Design, implement, and maintain cloud platform architecture, including security, identity, networking, and policy controls aligned with institutional standards.
  • Design, implement, and maintain CI/CD pipelines and release processes, including build, testing, security, and deployment workflows across development and production environments.
  • Support system integration across cloud and enterprise environments.
  • Drive adoption of platform engineering practices, including containerization and automation.
  • Contribute to automation and data‑driven technologies, including support for machine learning and intelligent automation workloads.
  • Work across multiple projects and technical environments to ensure consistent implementation of Dev Ops and cloud engineering practices.
• Reliability, Security & Operations (20%)
  • Support platform reliability and operational practices, including defining service performance metrics (e.g., SLOs/SLIs), implementing monitoring and observability solutions, and participating in incident response and disaster recovery activities.
  • Collaborate with information security and compliance teams to implement and maintain platform security controls, access management, and data protection measures in alignment with regulatory requirements (e.g., FERPA, HIPAA).
  • Monitor and optimize platform performance, capacity, and cost utilization across cloud environments, ensuring consistency across environments.
  • Ensure operational reliability and performance of platform services.
  • Align platform solutions with institutional standards, policies, and requirements.
• Leadership, Enablement & Continuous Improvement (20%)
  • Provide technical guidance and support to development and operations teams through documentation, training, and onboarding to promote effective use of platform services and Dev Ops practices.
  • Evaluate and implement new technologies and tools to support cloud platform capabilities, automation, data integration, and data‑driven initiatives in…