[Hiring] Cloud Infrastructure Architect @Universities of Wisconsin

Role Description

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.

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.

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.

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.

• 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.

Contact Information

Cody Roekle, [email protected] , 16082637676