IT Cloud Engineer, Engineering Platform Automation
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 6, 2026. Mayo Clinic scores A on the Alion truth index.
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.
This role serves as the technical product owner and lead engineer for the Engineering Front Door platform, partnering with the Cloud Center of Excellence (CCoE), Cloud Platform Engineering, Enterprise Architecture, ServiceNow Platform teams, Security, Product Management, and business stakeholders to improve the engineering experience through intelligent automation, reusable platform capabilities, and AI-assisted workflows.
The engineer will lead the development and continuous 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 remains scalable, maintainable, secure, and aligned with Mayo Clinic's engineering strategy.
Key Responsibilities
Engineering Platform Ownership
- Serve as the technical product owner for the Engineering Front Door platform.
- Define and continuously improve the platform roadmap in partnership 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.
Workflow Automation
- 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.
- Continuously improve engineering workflows based on analytics and customer feedback.
Cloud Governance Automation
- Automate governance intake, triage, review, approvals, routing, reporting, and metrics.
- Build reusable governance workflows that reduce manual effort while improving consistency and transparency.
- Develop automation supporting architectural reviews, cloud patterns, exception management, and governance reporting.
Knowledge Management & Engineering Patterns
- Develop automation that captures 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.
AI-Assisted Engineering
- Design and implement AI-assisted capabilities that improve engineering productivity and customer experience.
- Leverage ServiceNow AI capabilities, EmployeeWorks, AI Search, Now Assist, Virtual Agent, and Agentic AI workflows where appropriate.
- Build intelligent assistants that guide engineers through governance processes, recommend cloud patterns, answer engineering questions, and automate repetitive activities.
- Evaluate emerging AI capabilities that enhance engineering automation and platform operations.
Platform Integrations
- Develop integrations between cloud platforms, ServiceNow, enterprise systems, and engineering tools.
- Build secure API-based integrations supporting engineering workflows and platform automation.
- Integrate cloud services, identity platforms, CI/CD pipelines, knowledge systems, and reporting platforms.
Platform Engineering Enablement
- Partner with Cloud Platform Engineering teams 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."
Collaboration
- 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.
Documentation
- Develop and maintain technical documentation, workflow diagrams, architectural decisions, and operational procedures.
- Document engineering patterns and automation capabilities for reuse across the enterprise.
Analytics & Continuous Improvement
- Develop dashboards and metrics measuring platform adoption, workflow efficiency, engineering experience, governance effectiveness, and automation value.
- Continuously optimize platform capabilities using operational metrics and customer feedback.
What Success Looks Like
Success in this role is measured by the platform's ability to improve the engineering experience across Mayo Clinic.
Successful outcomes include:
- The Engineering Front Door becomes the preferred entry point for engineering services and cloud requests.
- Engineering requests are intelligently routed and processed through automated workflows.
- Manual governance activities are significantly reduced through automation.
- Engineers increasingly adopt self-service capabilities and reusable cloud products.
- AI-assisted guidance helps engineers find answers, discover approved patterns, and complete requests more efficiently.
- Governance decisions are automatically transformed into reusable engineering knowledge.
- The CCoE Knowledge Base becomes a trusted source of cloud patterns, architectural guidance, and engineering best practices.
- Platform automation improves engineering productivity, consistency, transparency, and operational efficiency.
- Engineering teams spend less time navigating processes and more time delivering business value.
- The Engineering Front Door continuously evolves through analytics, customer feedback, automation, and innovation.
Why Join This Team?
This role offers a unique opportunity to help shape the future of engineering at Mayo Clinic. You will design and evolve a strategic platform that serves as the Engineering Front Door for cloud services, governance, and platform engineering. By combining automation, AI, reusable engineering patterns, and self-service capabilities, you will help create a more efficient, scalable, and collaborative engineering ecosystem that accelerates innovation while maintaining the governance and security standards expected at Mayo Clinic.
Bachelor’s degree with 3 years’ experience with 1 year of demonstrated leadership experience, or Associate’s degree with 5 years’ experience with 1 years demonstrated leadership experience, or HS/GED with 7 years of experience in a large, complex organization like Mayo Clinic may be considered in lieu of the degree.
Experience deploying and operating on a public cloud framework. Ability to articulate new ideas and concepts to technical and non-technical audiences. Ability to build collaborative working relationships with various internal and external stakeholders. Strong analytical ability and data-driven mindset. Ability to rapidly acquire new knowledge and skills. Familiarity with service design and pricing in the context of cloud-based solutions. Experience with cloud deployment, technical and security architecture, database architecture, virtualization, software design, software development, IP networking, Linux, Agile development, SCRUM, application lifecycle management, .NET, programming languages, technical solution architecture, SOA, Windows Azure, Amazon AWS. Certification in cloud engineering is required within 12-24 months.
Strongly Preferred:
- Experience with one or more public cloud providers:
- Microsoft Azure
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Experience developing applications or automation using:
- Python
- JavaScript
- PowerShell
- Experience designing REST APIs and system integrations.
- Experience with source control (Git) and modern software development practices.
- Understanding of Agile software delivery methodologies.
Other Preferred Qualifications:
Experience with:
- ServiceNow development or administration
- Employee Center Pro
- EmployeeWorks
- BPMN 2.0 workflow modeling
- Business Process Automation platforms
- AI Search
- Now Assist
- Virtual Agent
- Agentic AI capabilities
- Infrastructure-as-Code (Terraform, ARM, Bicep, or similar)
- GitHub or Azure DevOps
- CI/CD pipelines
- Cloud governance and policy automation
- Platform Engineering concepts
- Developer Experience (DevEx)
- Enterprise Architecture practices
- Large enterprise or healthcare environments
Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorships now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Mayo Clinic does not participate in the F-1 STEM OPT extension program.