Cloud Infrastructure Architect

University of Wisconsin-Madison

$115K *
US-AnywhereRemote in Madison, WI
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8 years of experience in enterprise-scale cloud infrastructure and automation.
  • Expertise in cloud-native orchestration like AWS, Azure, or GCP.
  • Experience with CI/CD deployment pipelines and automation frameworks.
  • Familiarity with healthcare data environments and HIPAA compliance requirements.
  • Bachelor's degree in Computer Science or related field preferred.

Responsibilities

  • Design and implement secure, scalable cloud infrastructure using IaC principles.
  • Develop automated environments for processing large health datasets.
  • Optimize container orchestration (e.g., Kubernetes) for research workflows.
  • Build and manage CI/CD pipelines for data engineering and application code.
  • Implement monitoring and alerting systems to ensure platform reliability.
  • Integrate strict security measures into automated provisioning processes.
  • Lead in the design of platform capabilities for secure data sharing and access.

Benefits

  • Generous vacation, holidays, and sick leave.
  • Competitive insurances and savings accounts.
  • Retirement benefits.
Full Job Description
Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category:
Academic Staff

Employment Type:
Regular

Job Profile:
DevOps Engineer III

Job Summary:

The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.

The Cloud Infrastructure Architect provides technical leadership responsible for designing, implementing, and automating the infrastructure, deployment pipelines, and operational environment of WHDH’s data platform. This role ensures the secure, scalable, and highly available integration of infrastructure components supporting complex clinical and research data assets across a cloud-based environment. The position automates environments for advanced analytics, machine learning, and federated research capabilities while strictly maintaining compliance with HIPAA and institutional data security standards.

Working closely with data solutions architects, data engineers, AI specialists, and security leaders, the Cloud Infrastructure Architect will translate architectural and operational requirements into scalable Infrastructure as Code (IaC) solutions and robust CI/CD practices that support WHDH’s long-term platform strategy.

Key Responsibilities

Cloud Infrastructure and Platform Orchestration

·Design and implement the scalable, secure, cloud-native infrastructure framework supporting WHDH’s data platform using Infrastructure as Code (IaC) principles (e.g., Terraform, CloudFormation).

·Develop and maintain automated, elastic environments capable of ingesting, harmonizing, storing, and delivering massive structured and unstructured health datasets.

·Optimize containerized environments and orchestration layers (e.g., Kubernetes, ECS) to seamlessly support complex research workflows and distributed computing.

·Architect high-performance computing environments and automated provisioning pipelines tailored for AI, machine learning, and large-scale data analysis.

Deployment Pipelines and Continuous Integration (CI/CD)

·Build and manage secure, automated CI/CD pipelines for data engineering workflows, application code, and infrastructure deployments.

·Enable reliable, continuous deployment methodologies that ensure zero-downtime updates and seamless system testing across health systems and research institutions.

·Implement operational monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to proactively ensure platform reliability, uptime, and performance.

DevSecOps and Compliance Automation

·Bake strict security controls into the automated provisioning process, ensuring end-to-end alignment with HIPAA, institutional policies, and research data security standards.

·Establish best practices for DevSecOps, including automated vulnerability scanning, secret management, and compliance-as-code.

Design and maintain immutable infrastructure patterns that enforce granular access control, precise audit logging, and strict data governance across the WHDH ecosystem.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. The selected candidate must reside within the State of Wisconsin or move to the State within a reasonable time frame from the start date of the position.

Key Job Responsibilities:
  • Architects and manages containerized and distributed computing platforms that enable advanced analytics, machine learning, AI-driven research workloads, and high-performance data processing in secure cloud environments.
  • Collaborates with engineers, data scientists, architects, and research stakeholders to deliver scalable platform solutions that enable authorized users to securely access, process, and analyze distributed biomedical datasets.
  • Builds and optimizes observability frameworks, including monitoring, logging, alerting, and performance management solutions, to ensure system health, resiliency, and rapid incident response.
  • Manages, maintains, selects, and develops automation tools and infrastructure, including security configurations
  • Performs integration, migration, configuration, and security of existing applications and services into automated infrastructures
  • Serves as a subject matter expert to internal stakeholders, providing guidance and training to staff
  • Designs and implements platform capabilities that support secure data sharing, federated access, identity and access management, and privacy-preserving workflows while maintaining rigorous security and governance controls.
  • Serves as technical lead for one or more aspects of the system
  • Develops, programs, and/or deploys automation workflows for deployment, configuration, and/or monitoring of systems/services
  • Analyzes requirements and communicates and coordinates with staff and internal stakeholders related to the system and/or project

Department:

School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub.

The Wisconsin Health Data Hub (WHDH) is a grant-funded initiative within the Information and Information Technology (IIT) Division at the University of Wisconsin–Madison School of Medicine and Public Health.WHDH brings together a multidisciplinary team of technologists responsible for designing, implementing, and operating a secure data enclave that supports the responsible use of real-world health data for biomedical research.

The WHDH team develops and manages a scalable data platform that enables researchers to efficiently access, integrate, and analyze large-scale health datasets from participating health systems. By providing advanced data services, governance frameworks, and analytical capabilities, WHDH accelerates the research lifecycle—from project conception and data acquisition to analysis and discovery—while ensuring compliance with applicable regulatory, privacy, and security requirements.

Compensation:

The starting salary for the position is $115,000 annually; but is negotiable based on experience and qualifications. 

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the webpage.

Required Qualifications:
  • 8 years of experience designing, implementing, and maintaining enterprise-scale cloud infrastructure and automated environments.

  • Expertise with cloud-native platform orchestration (e.g., AWS, Azure, GCP) and managing infrastructure for distributed data solutions or containerized environments (e.g., Kubernetes, Docker).

  • Experience designing secure CI/CD deployment pipelines, automation workflows, and robust infrastructure integration frameworks.

  • Familiarity with healthcare or biomedical research data environments and relevant regulatory security compliance (e.g., HIPAA).

Preferred Qualifications:
  • Experience implementing DevSecOps practices, cloud-native security controls, and compliance-as-code within regulated healthcare data standards or interoperability frameworks.

  • Experience building and optimizing infrastructure to support AI/ML pipelines, MLOps, and advanced analytics workloads.

  • Expertise with securing and automating infrastructure for federated data platforms and multi-institutional data collaborations.

  • Experience working in federally funded research programs or academic research environments.

  • Strong documentation skills (e.g., creating architecture diagrams, runbooks) and proven technical leadership skills.

Education:

Bachelor's degree preferred; focus in Computer Science, Information Systems, Software Engineering, or a related technical field preferred

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either “I am a current employee” or “I am not a current employee” under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.

 • Cover letter  (required)
 • Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. 

Contact Information:

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

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