Cloud Infrastructure Architect
Madison, OH - USA
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 WHDHs 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 WHDHs long-term platform strategy.
Design and implement the scalable secure cloud-native infrastructure framework supporting WHDHs 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.
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.
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.
- 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
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 WisconsinMadison 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 lifecyclefrom project conception and data acquisition to analysis and discoverywhile ensuring compliance with applicable regulatory privacy and security requirements.
The starting salary for the position is $115000 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 campus benefits webpage.
SMPH Faculty /Academic Staff Benefits Flyer 2026
- 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).
- 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.
Bachelors degree preferred; focus in Computer Science Information Systems Software Engineering or a related technical field preferred
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University sponsorship is not available for this position including transfers of sponsorship and TN 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 position is an ongoing position that will require continuous work you are selected for this position you must provide proof of work authorization and eligibility to work.
Cody Roekle
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