IT Cloud Engineer, Engineering Platform Automation

Mayo Clinic•Rochester, MN

1d•$112,819 - $157,955

About The Position

The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic’s Engineering Front Door, a cloud-native digital platform that enables engineering self-service, cloud governance automation, AI-assisted guidance, reusable knowledge management, and workflow orchestration across the Hybrid Multi-Cloud ecosystem. The role serves as the platform’s technical product owner and lead engineer, partnering with the Cloud Center of Excellence (CCoE), Cloud Platform Engineering, Enterprise Architecture, ServiceNow Platform teams, Security, Product Management, and business stakeholders. The engineer leads development and ongoing evolution of cloud governance automation, engineering request management, ServiceNow Employee Center Pro, EmployeeWorks, knowledge automation, workflow orchestration, and Agentic AI capabilities, while ensuring the platform is scalable, maintainable, secure, and aligned with Mayo Clinic’s engineering strategy. The position focuses on improving engineering productivity and customer experience through reusable platform capabilities, automated workflows, intelligent routing, integrations, self-service cloud services, AI-assisted engineering, and measurable continuous improvement. It also includes technical documentation, operational excellence, and collaboration across the Hybrid Multi-Cloud ecosystem.

Requirements

Bachelor’s degree with 3 years of experience and 1 year of demonstrated leadership experience; or an Associate’s degree with 5 years of experience and 1 year of demonstrated leadership experience; or a high school diploma/GED with 7 years of experience in a large, complex organization may be considered in lieu of a degree.
Experience deploying and operating on a public cloud framework.
Ability to communicate new ideas and concepts to technical and non-technical audiences.
Ability to build collaborative working relationships with internal and external stakeholders.
Strong analytical ability and a data-driven mindset.
Ability to rapidly acquire new knowledge and skills.
Familiarity with service design and pricing for cloud-based solutions.
Experience with cloud deployment, technical and security architecture, database architecture, virtualization, software design and development, IP networking, Linux, Agile development, SCRUM, application lifecycle management, .NET, programming languages, technical solution architecture, SOA, Windows Azure, and Amazon AWS.
Cloud engineering certification is required within 12–24 months.
Authorization to work and remain in the United States without current or future Mayo Clinic sponsorship. Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Nice To Haves

Experience with one or more public cloud providers: Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
Experience developing applications or automation using Python, JavaScript, or PowerShell.
Experience designing REST APIs and system integrations.
Experience with Git source control and modern software development practices.
Understanding of Agile software delivery methodologies.
Experience with ServiceNow development or administration.
Experience with Employee Center Pro and EmployeeWorks.
Experience with BPMN 2.0 workflow modeling and business process automation platforms.
Experience with AI Search, Now Assist, Virtual Agent, or Agentic AI capabilities.
Experience with Infrastructure-as-Code tools such as Terraform, ARM, or Bicep.
Experience with GitHub or Azure DevOps and CI/CD pipelines.
Experience with cloud governance and policy automation.
Knowledge of Platform Engineering concepts and Developer Experience (DevEx).
Experience with Enterprise Architecture practices.
Experience in large enterprise or healthcare environments.

Responsibilities

Serve as the technical product owner for the Engineering Front Door platform.
Define and continuously improve the platform roadmap with the CCoE and Platform Engineering teams.
Design reusable platform capabilities that improve engineering productivity and customer experience.
Maintain platform reliability, performance, and operational excellence.
Design, develop, and support automated workflows for cloud engineering, governance, and platform engineering processes.
Configure and enhance engineering self-service capabilities using ServiceNow Employee Center Pro and EmployeeWorks.
Design and maintain BPMN 2.0 business process workflows.
Develop intelligent routing and orchestration of engineering requests across multiple IT domains.
Improve engineering workflows based on analytics and customer feedback.
Automate governance intake, triage, review, approvals, routing, reporting, and metrics.
Build reusable governance workflows that reduce manual effort and improve consistency and transparency.
Develop automation for architectural reviews, cloud patterns, exception management, and governance reporting.
Automate the capture of governance decisions, cloud patterns, engineering standards, and architectural guidance into the CCoE Knowledge Base.
Design workflows that transform project-specific solutions into reusable enterprise engineering assets.
Improve discoverability of engineering knowledge through intelligent search and recommendations.
Design and implement AI-assisted capabilities that improve engineering productivity and customer experience.
Use ServiceNow AI capabilities, EmployeeWorks, AI Search, Now Assist, Virtual Agent, and Agentic AI workflows where appropriate.
Build intelligent assistants to guide engineers through governance processes, recommend cloud patterns, answer engineering questions, and automate repetitive activities.
Evaluate emerging AI capabilities for engineering automation and platform operations.
Develop secure API-based integrations between cloud platforms, ServiceNow, enterprise systems, and engineering tools.
Integrate cloud services, identity platforms, CI/CD pipelines, knowledge systems, and reporting platforms.
Partner with Cloud Platform Engineering to expose reusable cloud capabilities through the Engineering Front Door.
Enable self-service deployment of approved cloud products, reference architectures, templates, and engineering services.
Support the evolution of reusable cloud products and engineering golden paths.
Partner with Cloud Engineering, Enterprise Architecture, Security, Networking, IAM, Product Owners, Platform Engineering, and ServiceNow teams.
Identify opportunities to eliminate manual activities through automation and reusable capabilities.
Promote engineering best practices and continuous improvement across the Hybrid Multi-Cloud ecosystem.
Develop and maintain technical documentation, workflow diagrams, architectural decisions, and operational procedures.
Document engineering patterns and automation capabilities for enterprise reuse.
Develop dashboards and metrics measuring platform adoption, workflow efficiency, engineering experience, governance effectiveness, and automation value.
Optimize platform capabilities using operational metrics and customer feedback.