Bruce Harrison is a Senior Technical Account Manager with a decade of experience bridging cloud software, network infrastructure, and low-voltage electrical systems across industrial and office environments. He pairs hands-on skills—running fiber and racking core switches, designing VLAN/DHCP architectures, and installing badge access—with rapid C# development to automate business processes and deliver short-cycle, user-driven applications. His background spans server and AD administration, Exchange, SQL, and modern cloud IaC practices, and he has contributed to high-profile open-source projects such as HashiCorp’s Terraform providers for AWS and Azure. At firms from startups to Google, he switches seamlessly between roles as engineer, architect, and customer-facing advisor to solve practical reliability and security problems. Colleagues rely on him for pragmatic solutions that consider power, physical access, and network constraints together—an uncommon full-site perspective in cloud-focused teams.
10 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Lindenwood University
AA Computer & Electrical Engineering, AA Computer & Electrical Engineering at ITT Tech
Contributions:31 reviews, 17 PRs, 50 comments in 4 years 11 months
Contributions summary:Bruce's commits focus on enhancing the Terraform provider for Azure Resource Manager. They implemented features related to Azure Event Hubs, specifically allowing the configuration of User Assigned Identity for Event Hub Encryption. The user also introduced a new resource for Data Factory, adding support for user-assigned managed identities. Furthermore, the user contributed to the Azure NetApp Files provider, adding properties for Active Directory.
The AWS Provider enables Terraform to manage AWS resources.
Role in this project:
Back-end Developer
Contributions:9 PRs, 7 comments, 2 issues in 7 years
Contributions summary:Bruce contributed to the AWS provider for Terraform, specifically focusing on the implementation of a Rekognition collection resource. Their work involved creating the necessary code and defining the schema for the resource, including attributes for collection ID, ARN, and face model version. They also incorporated functionality for importing state and interacting with the Rekognition API to create, read, update, and delete collections. Furthermore, the user updated the code related to tag management within the resource.
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