DevOps Engineer IV

University of Central Florida•Orlando, FL

1d•$108,150 - $115,000•Onsite

About The Position

UCF IT within University Operations is seeking a senior technical DevOps and Linux Platform Engineering Lead. The role advances cloud and Linux platform engineering practices across AWS, Google Cloud Platform (GCP), and enterprise Linux environments. It leads the design, implementation, automation, security, and operational excellence of cloud infrastructure and platform services supporting the university's academic, research, and administrative missions. The role works with university departments, researchers, developers, and technical teams on cloud adoption, application hosting, containerization, automation, and modernization, and provides technical leadership and mentorship to staff. The position's primary work location is on-site at UCF.

Requirements

Bachelor's degree and 4 years of relevant experience; or a high school diploma or equivalent and 8 years of relevant work experience in lieu of a degree; or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
Must be authorized to work for any U.S. employer; visa sponsorship and H-1B transfers are not available.
Must work on-site at UCF as the primary work location.

Nice To Haves

Experience supporting cloud infrastructure, DevOps practices, Linux platform administration, automation development, and enterprise technology environments or systems engineering.
Knowledge of cloud computing concepts, infrastructure management, security principles, and operational best practices.
Strong analytical, problem-solving, and technical troubleshooting skills, with effective communication and collaboration with technical and non-technical stakeholders.
Experience designing, implementing, and administering AWS and/or GCP environments.
Experience developing and maintaining Infrastructure as Code using Terraform, CloudFormation, or similar technologies.
Experience building and supporting CI/CD pipelines, DevOps workflows, release engineering processes, and automated deployment solutions.
Strong Linux systems administration experience, including configuration management, patching, automation, scripting, and performance tuning.
Experience with Python, Bash, or PowerShell; Docker and Docker Build; Docker Compose; and modern application hosting technologies.
Knowledge of cloud security, identity and access management, monitoring, observability, backup and recovery, and disaster recovery practices.
Experience supporting large-scale enterprise, higher education, or research computing environments.
Relevant AWS, Google Cloud, Red Hat, Kubernetes, Docker, or equivalent certifications.

Responsibilities

Lead the design, implementation, automation, and support of AWS cloud infrastructure and platform services for enterprise, academic, and research workloads.
Develop and maintain Infrastructure as Code, CI/CD pipelines, cloud governance controls, monitoring solutions, backup and recovery processes, and operational standards.
Engineer and support enterprise Linux platforms in cloud and on-premises environments, including configuration management, patching, automation, troubleshooting, and life cycle management.
Create reusable automation solutions, scripts, templates, system images, and operational run-books.
Provide technical leadership for UCF's GCP environment, including cloud architecture, identity and access management, networking standards, monitoring, and automation.
Develop and maintain DevOps, orchestration, and release engineering capabilities across cloud and Linux environments.
Design, build, secure, and support Docker-based containerized application platforms, including images, multi-stage builds, registries, Compose deployments, networking, and operational practices.
Implement and maintain automated container build and deployment pipelines integrated with CI/CD workflows.
Implement automated deployment pipelines, testing frameworks, security controls, secrets management, and rollback procedures.
Establish cloud and platform engineering standards, architecture documentation, implementation guides, and operational procedures.
Consult with university departments, researchers, developers, and technical teams on cloud adoption, application hosting, containerization strategies, automation opportunities, and modernization initiatives.
Mentor technical staff in DevOps practices, cloud engineering, Linux administration, Docker, automation, troubleshooting, and operational best practices.