Cloud Solutions Engineer

University of North Carolina System • Raleigh, NC

9d • Remote

About The Position

The Cloud Solutions Engineer designs, develops, deploys, and supports cloud-based solutions that advance enterprise digital transformation initiatives. The role combines AWS cloud services, application deployment, infrastructure automation, and artificial intelligence technologies to deliver scalable, secure solutions supporting enterprise platforms and business objectives. The engineer architects and implements cloud-native applications, enterprise integrations, serverless solutions, AI-enabled services, and automated deployment pipelines. Working with business stakeholders, developers, data engineers, and technology teams, the engineer translates business requirements into reliable technical solutions while promoting cloud best practices, operational excellence, and continuous innovation. The position is remote with occasional travel to the UNC System Office in Raleigh, North Carolina. UNC System employees are generally required to reside in North Carolina within a two-hour commuting distance of their assigned duty station.

Requirements

• At least three years of progressive experience in the information technology field, including technology support, or an equivalent combination of education and experience.
• Education and experience combination: a master's degree and 2–4 years of experience, a bachelor's degree and 3–5 years of experience, or a combination of related education and experience in substitution.
• UNC System employees are generally required to reside in North Carolina within a two-hour commuting distance of their assigned duty station.

Nice To Haves

• Experience designing and implementing AWS cloud solutions, including cloud-native architecture, multi-account AWS environments, enterprise integration patterns, and hybrid cloud connectivity.
• Experience in platform engineering and automation, including Infrastructure as Code with AWS CDK, CloudFormation, and Terraform; CI/CD pipeline development; shared services platforms; serverless deployment; and monitoring and observability.
• Experience with generative AI integration, Amazon Bedrock and related AI services, intelligent automation workflows, AI-powered application features, and evaluation of emerging AI technologies.
• Experience modernizing and integrating applications through API development and management, event-driven architectures, enterprise system integration, and microservices-based serverless solutions.
• Knowledge of IAM and identity management, Landing Zone Accelerator (LZA), cloud security best practices, compliance and governance controls, and risk management.
• Ability to collaborate with business and technical stakeholders, provide solution consulting and requirements analysis, produce technical documentation, drive continuous improvement, and research innovative technologies.

Responsibilities

• Design, develop, deploy, and support cloud-based solutions for enterprise digital transformation initiatives.
• Architect and implement cloud-native applications, enterprise integrations, serverless solutions, AI-enabled services, and automated deployment pipelines.
• Translate business requirements into reliable technical solutions in collaboration with business stakeholders, developers, data engineers, and technology teams.
• Promote cloud best practices, operational excellence, and continuous innovation.
• Contribute to digital modernization and enterprise platform engineering using cloud platforms, data-driven solutions, and artificial intelligence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level