Cloud Engineer Jobs

About The Position

Requirements

• Bachelor’s degree and 3 years of experience, including 1 year of demonstrated leadership experience; or an associate degree and 5 years of experience, including 1 year of demonstrated leadership experience; or a high school diploma/GED and 7 years of experience. The high-school/GED pathway may be considered in lieu of a degree for experience in a large, complex organization like Mayo Clinic.
• 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 or familiarity 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 Mayo Clinic sponsorship now or in the future. 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 or EmployeeWorks.
• Experience with BPMN 2.0 workflow modeling or 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, Bicep, or similar.
• Experience with GitHub or Azure DevOps CI/CD pipelines.
• Experience with cloud governance and policy automation.
• Knowledge of Platform Engineering concepts and Developer Experience (DevEx).
• Knowledge of Enterprise Architecture practices.
• Experience in large enterprise or healthcare environments.

Responsibilities

• Serve as technical product owner and lead engineer 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 IT domains.
• Improve engineering workflows using analytics and customer feedback.
• Automate governance intake, triage, review, approvals, routing, reporting, and metrics.
• Build reusable governance workflows and automation for architectural reviews, cloud patterns, exception management, and governance reporting.
• Capture governance decisions, cloud patterns, engineering standards, and architectural guidance in the CCoE Knowledge Base through automation.
• Transform project-specific solutions into reusable enterprise engineering assets and improve their discoverability through intelligent search and recommendations.
• Design and implement AI-assisted capabilities, including intelligent assistants that guide engineers, recommend cloud patterns, answer questions, and automate repetitive activities.
• Leverage appropriate ServiceNow AI capabilities, EmployeeWorks, AI Search, Now Assist, Virtual Agent, and Agentic AI workflows; evaluate emerging AI capabilities for engineering automation and platform operations.
• Develop secure, API-based integrations among 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 reusable cloud products and engineering golden paths.
• Collaborate 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, and promote engineering best practices and continuous improvement across the hybrid multi-cloud ecosystem.
• Develop and maintain technical documentation, workflow diagrams, architectural decisions, operational procedures, engineering patterns, and automation documentation.
• Develop dashboards and metrics for platform adoption, workflow efficiency, engineering experience, governance effectiveness, and automation value.
• Continuously optimize platform capabilities using operational metrics and customer feedback.