Cloud Solutions Engineer

The UNC System Office is hiring a Cloud Solutions Engineer to advance enterprise digital transformation through cloud-based solutions. The role architects, implements, and supports cloud-native applications, enterprise integrations, serverless solutions, AI-enabled services, and automated deployment pipelines.

Responsibilities:

• The Cloud Solutions Engineer designs, develops, deploys, and supports cloud-based solutions that advance enterprise digital transformation initiatives
• The position is responsible for architecting and implementing cloud-native applications, enterprise integrations, serverless solutions, AI-enabled services, and automated deployment pipelines
• Working collaboratively with business stakeholders, developers, data engineers, and technology teams, the Cloud Solutions Engineer translates business requirements into reliable technical solutions while promoting cloud best practices, operational excellence, and continuous innovation

Requirements:

• Masters' and 2-4 years' experience; or Bachelors and 3-5 years' experience; or will accept a combination of related education and experience in substitution
• Minimum of three years of progressive experience in the information technology field including experience in technology support, or an equivalent combination of education and experience
• Experience in designing and implementing AWS-based cloud solutions, with expertise in cloud-native application architecture, multi-account AWS environments, enterprise integration patterns, and hybrid cloud connectivity
• Strong background in platform engineering and automation, including Infrastructure as Code using AWS CDK, CloudFormation, and Terraform; CI/CD pipeline development; shared services platforms; serverless application deployment; and monitoring and observability
• Skilled in developing AI and intelligent solutions through generative AI integration, Amazon Bedrock and related AI services, intelligent automation workflows, AI-powered application features, and the evaluation of emerging AI technologies
• Proven ability to modernize and integrate applications through API development and management, event-driven architectures, enterprise system integration, and microservices-based serverless solutions
• Knowledgeable in security and governance, including IAM and identity management, Landing Zone Accelerator (LZA), cloud security best practices, compliance and governance controls, and risk management
• Effective at collaborating with business and technical stakeholders, providing solution consulting and requirements analysis, producing technical documentation, driving continuous improvement initiatives, and researching innovative technologies to deliver business value