United Network for Organ Sharing (UNOS) Tech Stack

Nonprofit managing the U.S. organ transplant network and waitlist

Hospitals and Health Care Richmond, VA 201–500 employees Founded 1984 Nonprofit

UNOS operates the national organ transplant allocation system—mission-critical infrastructure where allocation errors directly threaten patient outcomes. The tech stack (Azure cloud, Kubernetes, Databricks, Python) reflects active modernization: they're migrating off SAS legacy pipelines while building an observability platform for life-critical systems and identity management across enterprise services. Hiring accelerates across engineering, data, and security roles, signaling investment in cloud infrastructure resilience and compliance.

Tech Stack 32 technologies

Core StackDocker Kubernetes Terraform Azure DevOps C# Angular React Kotlin Java Swift Azure Data Factory Azure Functions Python pandas PySpark Databricks Apache Spark Azure Container Apps Bicep PowerShell Bash Nutanix Azure Entra ID Objective-C Azure Data Lake Storage SQL Server Integration Services CSV XML Parquet Azure Synapse+1 more

ReplacingSAS

What United Network for Organ Sharing (UNOS) Is Building

◆Challenges

Reducing errors in organ allocation
Protecting critical information
Evolving security capabilities
Aligning security architecture with business strategy
Legal and regulatory risk management
Compliance and ethics framework
Data governance and privacy
Advancing organ donation and transplant reforms
Migrating legacy sas pipelines
Reliability and availability for life-critical systems

▲Active Projects

External advocacy efforts to promote organ donation and transplant reforms
Grassroots advocacy program
Policy analysis and recommendation initiatives
Modernization of legacy sas pipelines
Cloud transformation of hybrid environments
Observability platform for life-critical systems
Identity platform management for enterprise services
Transplant management forum
Onboarding program enhancements
Engagement survey follow-up

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Engineering

Executive

Data

Healthcare

Legal

Sales

Security

Seniority

Manager

C-Level

Junior

Mid

Senior

Notable leadership hires: Chief Growth Officer

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About United Network for Organ Sharing (UNOS)

UNOS is a nonprofit chartered to manage the U.S. organ transplant system, including the national transplant waitlist and allocation policies. The organization coordinates organ donation, recovery, and transplantation across the country's transplant centers and OPOs (organ procurement organizations). Beyond network operations, UNOS funds research, drives policy reform through advocacy initiatives, and maintains the data and identity systems that support life-critical allocation decisions. Based in Richmond, VA, the organization employs 201–500 staff across clinical, engineering, data, and policy functions.

HeadquartersRichmond, VA

Company Size201–500 employees

Founded1984

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does UNOS use?

UNOS runs on Azure cloud (Container Apps, DevOps, Entra ID, Data Factory, Synapse) with Kubernetes orchestration, Databricks and Apache Spark for data processing, C# and Java backend services, and Angular/React frontends. They are migrating legacy SAS pipelines to cloud-native architecture.

What is UNOS working on?

Active initiatives include modernizing legacy SAS data pipelines, cloud transformation of hybrid environments, building an observability platform for life-critical systems, identity platform management, organ donation advocacy reforms, and policy analysis to reduce transplant allocation errors.

How this profile is built

United Network for Organ Sharing (UNOS)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.