• Design, develop, and maintain secure cloud-based web applications • Ensure compliance with FedRAMP and DoD Impact Level (IL) security requirements • Develop and maintain APIs within cloud-native architectures • Work within Microsoft Azure and AWS environments • Apply modern web frameworks and secure development best practices

• Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments. • Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker. • Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems. • Prepare and structure data for advanced AI and GenAI solutions. • Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects. • Document and rigorously test models and workflows to meet accuracy and performance requirements. • Monitor and enhance the performance of Machine Learning models and services in production. • Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads.

Role Description Mayo Clinic is seeking an IT Cloud Engineer to help build, operate, and support enterprise cloud platforms that enable secure, scalable, and automated workloads across public cloud and on-prem environments. This role focuses on implementation, operational support, and automation, working under established architectural standards and patterns. - Cloud Engineers partner with senior engineers and architects to deliver reliable cloud and container platform services for application and data teams. - The Information Technology Cloud Engineer works to ensure that enterprise cloud solutions are designed, delivered, and supported. - May develop internal and external compatibility of the system and subsystems. - Develops moderately complex scripts using a tool or combination of tools to automate a task or a series of tasks. - Develops and complies with SLAs or OLAs. - Documents new or modified solutions, installation instructions, and other system-related information. - Writes configuration for cloud platforms leveraging appropriate tools. - Collaborates with developers and is responsible for the "Ops" part of DevOps. - Develops and maintains tools and frameworks that other teams use to smoothly develop their applications. - May use technology to implement automation and orchestration. - Develops, builds, or implements cloud solutions based on business and technology considerations to satisfy customer needs. - Works to integrate cloud solutions with existing enterprise tools and systems. - Ensures compliance of cloud solutions to architectural standards. - Performs evaluations of enterprise cloud technology standards, tools, products, and solutions to identify opportunities for improvement. - Works with information security to ensure Cloud solutions support maintenance of a secure technology environment. - Assists with planning and validating the installation, configuration, and maintenance of Cloud solutions. - Supports compliance of role-based access control (RBAC), cost containment and cloud provider account management. - Assists in developing time and cost estimates for cloud solutions. - May develop, review, and modify Cloud systems specifications, input/output processes and working parameters for hardware/software compatibility. - Participates in evaluation of technical requirements to determine the impact of Cloud technologies on the infrastructure including equipment redundancy and capacity requirements. - Supports and maintains the physical design for cloud-based solutions for infrastructure and platforms. Qualifications - Implement and support cloud and container platform capabilities for cloud-native and hybrid workloads. - Deploy and operate Kubernetes-based platforms following established standards and best practices. - Assist with migrations from on-prem systems to cloud and container-based architectures. - Develop and maintain infrastructure-as-code (IaC) and automation with guidance from senior engineers. - Monitor, troubleshoot, and resolve cloud and platform issues in production environments. - Follow security, compliance, and operational requirements, including HIPAA-aligned controls. - Contribute to documentation, runbooks, and operational procedures. - Collaborate with application, security, and operations teams to support platform adoption. Role Scope - This role emphasizes execution and operational support under established architecture and standards. - Cloud Engineers grow skills through hands-on delivery, mentorship from senior engineers, and exposure to platform operations. - Architecture ownership and strategic design decisions are led by senior and principal engineers. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

• Implement and configure enterprise-grade Azure landing zones for a greenfield environment based on architectural designs. • Contribute to the discovery, technical design, and iterative engineering of the Azure platform. • Build secure, scalable, and resilient cloud architectures using Infrastructure as Code (IaC) and aligned with enterprise best practice. • Execute the integration of Azure services with existing on-premise legacy estates. • Collaborate with the Solution Director, Lead Engineers, and wider technical stakeholders to deliver against the platform roadmap. • Provide technical peer reviews and mentor mid-level engineers within the delivery team. • Support the implementation and adoption of Microsoft Fabric and associated Azure data services.