Paysend operates a cross-border payments platform spanning 170+ countries with 20 billion connected endpoints. The stack reflects a mature, multi-cloud infrastructure (AWS, GCP, Azure) with distributed systems tooling (Kafka, RabbitMQ, gRPC), paired with an active migration away from Oracle — signaling a shift toward cloud-native data layers. Current hiring is heavily engineering-focused (4 of 7 roles) at senior and lead levels, concentrated on security infrastructure, platform migration, and fraud monitoring, which aligns with their stated pain around legacy system modernization and payment security.
Paysend connects people and businesses globally through an open, instant digital payment network. The platform orchestrates links between major card networks and local payment rails, enabling money transfers across 170+ countries with coverage to 20 billion endpoints. Founded in 2017 and headquartered in London, the company operates as a privately held organization with 201–500 employees. Revenue generation flows through remittance services, card-to-card transfers, and digital wallet functionality. The operational footprint spans the UK and Serbia, with product-facing challenges centered on regional user acquisition scaling, fraud monitoring at transaction volume, and the modernization of a legacy Oracle-backed core.
Paysend operates across 170+ countries with connections to 20+ billion payment endpoints. Engineering and hiring teams are based in Serbia and the United Kingdom.
Paysend uses AWS, GCP, and Azure for cloud infrastructure; PostgreSQL, SQL Server, and AWS RDS for data; and distributed systems tools including Kafka, RabbitMQ, gRPC, Kubernetes, and Docker. The platform is migrating away from Oracle.
Paysend'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.