{"id":3911242,"url":"https://alion.io/job/mayo-clinic-it-cloud-engineer-engineering-platform-automation","title":"IT Cloud Engineer, Engineering Platform Automation","company":{"id":35609,"name":"Mayo Clinic","domain":"mayoclinic.org","url":"https://alion.io/company/mayo-clinic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":85,"open_postings":89,"ghost_share":0.011,"stale_share":0.73,"repost_share":0.045,"time_to_fill_p50_days":8,"computed_at":"2026-11-08T05:47:12Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rochester, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BPMN","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"ServiceNow","optional":false},{"name":"Windows","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Bicep","optional":true},{"name":"C#","optional":true},{"name":"GitHub","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-06T19:20:53Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T16:09:09Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nThis 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.\nThe 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.\nKey Responsibilities\nEngineering Platform Ownership\nServe as the technical product owner for the Engineering Front Door platform. \nDefine and continuously improve the platform roadmap in partnership with the CCoE and Platform Engineering teams. \nDesign reusable platform capabilities that improve engineering productivity and customer experience. \nMaintain platform reliability, performance, and operational excellence. \nWorkflow Automation\nDesign, develop, and support automated workflows for cloud engineering, governance, and platform engineering processes. \nConfigure and enhance engineering self-service capabilities using ServiceNow Employee Center Pro and EmployeeWorks. \nDesign and maintain BPMN 2.0 business process workflows. \nDevelop intelligent routing and orchestration of engineering requests across multiple IT domains. \nContinuously improve engineering workflows based on analytics and customer feedback. \nCloud Governance Automation\nAutomate governance intake, triage, review, approvals, routing, reporting, and metrics. \nBuild reusable governance workflows that reduce manual effort while improving consistency and transparency. \nDevelop automation supporting architectural reviews, cloud patterns, exception management, and governance reporting. \nKnowledge Management & Engineering Patterns\nDevelop automation that captures governance decisions, cloud patterns, engineering standards, and architectural guidance into the CCoE Knowledge Base. \nDesign workflows that transform project-specific solutions into reusable enterprise engineering assets. \nImprove discoverability of engineering knowledge through intelligent search and recommendations. \nAI-Assisted Engineering\nDesign and implement AI-assisted capabilities that improve engineering productivity and customer experience. \nLeverage ServiceNow AI capabilities, EmployeeWorks, AI Search, Now Assist, Virtual Agent, and Agentic AI workflows where appropriate. \nBuild intelligent assistants that guide engineers through governance processes, recommend cloud patterns, answer engineering questions, and automate repetitive activities. \nEvaluate emerging AI capabilities that enhance engineering automation and platform operations. \nPlatform Integrations\nDevelop integrations between cloud platforms, ServiceNow, enterprise systems, and engineering tools. \nBuild secure API-based integrations supporting engineering workflows and platform automation. \nIntegrate cloud services, identity platforms, CI/CD pipelines, knowledge systems, and reporting platforms. \nPlatform Engineering Enablement\nPartner with Cloud Platform Engineering teams to expose reusable cloud capabilities through the Engineering Front Door. \nEnable self-service deployment of approved cloud products, reference architectures, templates, and engineering services. \nSupport the evolution of reusable cloud products and engineering \"golden paths.\" \nCollaboration\nPartner with Cloud Engineering, Enterprise Architecture, Security, Networking, IAM, Product Owners, Platform Engineering, and ServiceNow teams. \nIdentify opportunities to eliminate manual activities through automation and reusable capabilities. \nPromote engineering best practices and continuous improvement across the Hybrid Multi-Cloud ecosystem. \nDocumentation\nDevelop and maintain technical documentation, workflow diagrams, architectural decisions, and operational procedures. \nDocument engineering patterns and automation capabilities for reuse across the enterprise. \nAnalytics & Continuous Improvement\nDevelop dashboards and metrics measuring platform adoption, workflow efficiency, engineering experience, governance effectiveness, and automation value. \nContinuously optimize platform capabilities using operational metrics and customer feedback. \nWhat Success Looks Like\nSuccess in this role is measured by the platform's ability to improve the engineering experience across Mayo Clinic.\nSuccessful outcomes include:\nThe Engineering Front Door becomes the preferred entry point for engineering services and cloud requests. \nEngineering requests are intelligently routed and processed through automated workflows. \nManual governance activities are significantly reduced through automation. \nEngineers increasingly adopt self-service capabilities and reusable cloud products. \nAI-assisted guidance helps engineers find answers, discover approved patterns, and complete requests more efficiently. \nGovernance decisions are automatically transformed into reusable engineering knowledge. \nThe CCoE Knowledge Base becomes a trusted source of cloud patterns, architectural guidance, and engineering best practices. \nPlatform automation improves engineering productivity, consistency, transparency, and operational efficiency. \nEngineering teams spend less time navigating processes and more time delivering business value. \nThe Engineering Front Door continuously evolves through analytics, customer feedback, automation, and innovation. \nWhy Join This Team?\nThis 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.\n 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.\nExperience 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.\nStrongly Preferred:\nExperience with one or more public cloud providers:Microsoft Azure \nGoogle Cloud Platform (GCP) \nAmazon Web Services (AWS) \n\nExperience developing applications or automation using:Python \nJavaScript \nPowerShell \n\nExperience designing REST APIs and system integrations. \nExperience with source control (Git) and modern software development practices. \nUnderstanding of Agile software delivery methodologies. \nOther Preferred Qualifications:\nExperience with:\nServiceNow development or administration \nEmployee Center Pro \nEmployeeWorks \nBPMN 2.0 workflow modeling \nBusiness Process Automation platforms \nAI Search \nNow Assist \nVirtual Agent \nAgentic AI capabilities \nInfrastructure-as-Code (Terraform, ARM, Bicep, or similar) \nGitHub or Azure DevOps \nCI/CD pipelines \nCloud governance and policy automation \nPlatform Engineering concepts \nDeveloper Experience (DevEx) \nEnterprise Architecture practices \nLarge enterprise or healthcare environments \nAuthorization 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). 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