E-prescribing and medication management platform for healthcare providers
DrFirst operates a medication management platform serving healthcare providers and pharmacies, with a tech stack centered on AWS infrastructure (EKS, Aurora, DynamoDB, Redshift), Epic integration, and PostgreSQL. The hiring mix is engineering-heavy relative to company size, with an active engineering director hire and three open engineering roles—paired with projects in cloud-native microservices and PostgreSQL optimization—suggesting infrastructure modernization is a near-term priority. Pain points around database bottlenecks, disaster recovery, and high-throughput requirements indicate the platform is scaling beyond legacy architecture constraints.
Notable leadership hires: Engineering Director
DrFirst builds end-to-end medication management solutions for healthcare providers, focusing on e-prescribing workflows, medication history aggregation, patient adherence support, and clinical decision support. Founded in 2000 and headquartered in Arlington, Virginia, the company serves a 201–500-person operation across engineering, product, finance, and support functions. The platform integrates with major EHR systems like Epic and MEDITECH, aggregating fragmented healthcare data to streamline prescribing, improve medication access, and reduce errors. Active initiatives span cloud modernization, microservices architecture, audit automation, and M&A integration.
AWS (EKS, Aurora, DynamoDB, Redshift, CloudWatch), GCP, Epic Systems, PostgreSQL, Java, Angular, Salesforce, Splunk, and security tools including SentinelOne, Proofpoint, and Zscaler.
Arlington, Virginia. All current hiring is US-based.
DrFirst, Inc.'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.