Zach Deering

Johns Hopkins Medicine

Sept 2022 – Present Baltimore, MD

Technical leader of a high-performing platform infrastructure team managing Azure cloud assets, ensuring secure, scalable, and compliant operations for Health IT.
Accelerated deployments by engineering reusable CI/CD build templates, automation scripts, and Helm charts for MuleSoft, Java/Spring Boot, and Docker deployments in Azure DevOps.
Increased production uptime by architecting proactive monitoring capabilities using Prometheus, Splunk, and automated alerting.
Produced an AI reasoning system with cross-functional teams to detect VTE risks using Azure services, API Management, de-identification services, and OpenAI models.
Streamlined cloud provisioning using Infrastructure-as-Code with Terraform for repeatable, version-controlled Azure deployments.
Optimized Enterprise integration with MuleSoft Runtime Fabric and Anypoint Platform for efficient and secure API connectivity.
Featured speaker at Salesforce Dreamforce 2023 — presented "Build an Agile, Secure Company with Composable APIs" to 25+ industry leaders.

Azure Terraform Kubernetes Helm MuleSoft Prometheus OpenAI CI/CD

Johns Hopkins Medicine

July 2021 – Aug 2022 Baltimore, MD

Improved high-performance full-stack applications for managing Enterprise COVID-19 health requirements, optimizing data queries and boosting performance.
Architected zero-downtime migration from on-premises MuleSoft 3.x servers to an Azure Kubernetes Service deployment of MuleSoft Runtime Fabric.
Developed Spring Boot full-stack applications that earned recognition from HIMSS Stage 7.

Spring Boot MuleSoft AKS Kubernetes Java

Johns Hopkins Medicine

Jan 2018 – June 2021 Baltimore, MD

Engineered high-performance Spring Boot and Angular applications to manage evolving Enterprise COVID-19 health requirements.
Designed modern full-stack applications using advanced tooling and CI/CD pipelines to track, analyze, and improve Patient Access processes and quality management.

Spring Boot Angular CI/CD Full-Stack

U.S. Army

July 2014 – Dec 2017 Aberdeen Proving Ground, MD

Developed prototype Mission Command speech recognition systems to advance command-and-control capabilities, leveraging Java, C++, Git, Maven, Gradle, and JenkinsCI.
Received the 2016 "Excellence in Federal Career" Award by the Federal Executive Board of Baltimore for outstanding technical innovation and contributions to mission-critical programs.

Java C++ JenkinsCI Maven Speech Recognition

Sr. Software Engineer