Cloud Engineer

Posting Number | S07350P

Position Title | Cloud Engineer I

Functional Title | Cloud Engineer I

Department | Information Technology-Enterprise Tech. Innovation & Serv

Salary Range | Up to $76,000 Depending on Qualifications

Pay Basis | Monthly

Position Status | Regular full-time

Location | Richardson

Position End Date (if temporary) |

Posting Open Date | 11/06/2026

Posting Close Date |

Open Until Filled | Yes

Desired Start Date | 12/01/2026

The Enterprise Cloud & Infrastructure Services team is seeking a motivated Cloud Engineer I to help deploy, secure, and operate production workloads across AWS, Microsoft Azure, and Google Cloud, using automation and best practices wherever possible. This is a hands‑on role in the University’s Infrastructure Services. The cloud engineer will assist in the development and deployment of cloud solutions and environments, gain exposure to projects from governance through operations, and build a strong foundation in cloud architecture, security, data protection, and identity management.

The cloud engineer will be expected to work independently as skills grow.

Bachelor’s degree or an equivalent combination of relevant education and experience may be considered.

BS degree with a minimum of four (4) years of experience in Computer Science, Information Technology, Information Systems, Cybersecurity, or a related field. Entry‑level cloud certification, such as AWS Certified Cloud Practitioner or Solutions Architect Associate, Azure Fundamentals or Administrator Associate, or Google Cloud Associate Cloud Engineer. AWS Platform experience, understand some of the following AWS service provisioning including EC2, ECS, VPC, S3, DynamoDB, RDS, Redshift, SWF, SQS, etc.

Understanding of Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service, and Software as a Service Cloud delivery models and the current competitive landscape. Understanding of Dev Ops methodology, including CI/CD tooling, monitoring, and alerting. Experience in AWS costs optimization. Experience migrating workloads between local environments and the public cloud. Understanding of highly available systems and disaster recovery methods.

Hands‑on exposure with AWS, Azure, and/or Google Cloud deployment, technical and security architecture, database architecture, and virtualization architecture. Familiarity with native cloud services (compute, storage, networking, databases, containers) and how they differ from traditional on‑premises services. Exposure to deployment and functionality of container services (e.g.: Docker, Kubernetes, Container Service) desired but not required. Understanding of Infrastructure as Code, Platform as a Service (PaaS), and other “as a Service” models (IaaS, SaaS).

Scripting or programming experience (e.g., Python, Power Shell, Bash) and use of Git. Exposure to automation tools such as Terraform, Cloud Formation, or Ansible.

Understanding of virtualization (e.g., VMware, Nutanix, Hyper‑V, KVM) and its role on premises and in the cloud. Understanding of enterprise architecture dependencies, including resource, network, and protocol integrations (e.g., DNS, TCP/IP, VPN, SMB/NFS, HTTPS). Basic knowledge of Linux and Windows operating systems. Ability to assess efficiencies and make adjustments/recommendations for improvement. Good understanding of various operating systems, OS vulnerabilities and patching, third‑party application vulnerabilities, and patching.

Understanding of the importance of security, data protection, and identity and access management (e.g.,…