Last-mile logistics platform serving 97% of U.S. households via 310,000+ independent drivers
Roadie operates a national delivery network reaching 97% of U.S. households across 30,000+ zip codes, now intensifying internal infrastructure work. The tech stack—Kafka, PostgreSQL, Redis, Kubernetes, AWS—supports scale, while active projects reveal a security-first maturation: secure SDLC implementation, CI/CD security integration, and automated vulnerability scanning indicate the company is hardening operational controls as it grows. Hiring velocity is accelerating with mid-level product and engineering roles, signaling expansion in platform capabilities rather than pure ops scaling.
Roadie is a UPS-owned logistics and last-mile delivery platform operating across 201–500 employees from Atlanta. The company operates a network of over 310,000 independent drivers and serves businesses with same-day delivery, big-and-bulky transport, ship-from-store, and warehouse-to-door solutions. The platform reaches 97% of U.S. households, including rural communities, and handles returns and in-house sortation. The tech stack includes Kafka, Kubernetes, PostgreSQL, and AWS—foundational for managing complex logistics at scale—alongside mobile-first tooling (Flutter, Dart, Swift, Android) supporting driver and customer experiences.
Roadie's core stack includes Kafka, PostgreSQL, Redis, Kubernetes, AWS, Docker, and GraphQL. The company runs Flutter, Dart, Swift, and Android for mobile, React on the frontend, and orchestrates CI/CD through CircleCI, Argo CD, and GitLab.
Roadie is headquartered in Atlanta, Georgia. The company is a public subsidiary of UPS, founded in 2014.
Other companies in the same industry, closest in size
Roadie'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.