Cloud Infrastructure Architect

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. Key Responsibilities Design and implement secure, scalable, cloud‑native infrastructure using IaC principles (e.g., Terraform, CloudFormation) to support WHDH’s data platform. Develop and maintain automated, elastic environments that ingest, harmonize, store, and deliver massive structured and unstructured health datasets. Optimize containerized environments and orchestration layers (e.g., Kubernetes, ECS) to support complex research workflows and distributed computing. Architect high‑performance computing environments and automated provisioning pipelines 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. Architect and manage containerized and distributed computing platforms that enable advanced analytics, machine learning, AI‑driven research workloads, and high‑performance data processing in secure cloud environments. Collaborate 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. Build and optimize observability frameworks, including monitoring, logging, alerting, and performance management solutions, to ensure system health, resiliency, and rapid incident response. Manage, maintain, select, and develop automation tools and infrastructure, including security configurations. Perform integration, migration, configuration, and security of existing applications and services into automated infrastructures. Serve as a subject‑matter expert to internal stakeholders, providing guidance and training to staff. Design and implement platform capabilities that support secure data sharing, federated access, identity and access management, and privacy‑preserving workflows while maintaining rigorous security and governance controls. Serve as technical lead for one or more aspects of the system. Develop, program, and/or deploy automation workflows for deployment, configuration, and monitoring of systems and services. Analyze requirements and coordinate with staff and internal stakeholders related to the system and/or project. Work Authorization Because this position requires continuous work eligibility in the United States, only citizens, lawful permanent residents, or foreign nationals authorized to work in the U.S. without employer sponsorship will be considered. Candidates must provide proof of eligibility to work on or before appointment. Department School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub. Compensation The starting salary for the position is $115,000 annually, negotiable based on experience and qualifications. 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. Equal Opportunity Employer The University of Wisconsin‑Madison is an Equal Opportunity Employer. #J-18808-Ljbffr