Digital healthcare platform prescribing and delivering medicines direct to consumers
Mosh operates a fully digital healthcare platform in Australia that handles the entire prescription-to-delivery workflow across doctors, nurses, pharmacists, and consumers. The tech stack—TypeScript, React, Kafka, PostgreSQL, Kubernetes on AWS with Datadog/Prometheus observability—reflects a distributed, production-grade backend: the presence of event streaming (Kafka), async messaging (SNS/SQS), and infrastructure-as-code (Terraform) suggests they're managing complex state across prescribing, fulfillment, and billing systems. Current hiring is weighted toward senior engineers and leadership roles across product and ops, aligning with their project focus on monolith decomposition, scalable distribution, and payment innovation.
Mosh is Australia's first end-to-end digital healthcare platform, founded in 2017 and based in Surry Hills. The company enables direct-to-consumer medicine delivery by digitizing the entire workflow: patients connect with doctors and nurses for prescriptions, which are then fulfilled by partner pharmacists and delivered to consumers. The platform handles prescribing, pharmacy operations, billing, and logistics—a complexity reflected in their active work on payment flows, dunning automation, data integrity, compliance, and operational scaling. Mosh is a privately held company with 51–200 employees, currently hiring in Australia across engineering, product, marketing, and operations.
Mosh builds on TypeScript, React, React Native, PostgreSQL, Kafka, Go, Java, Python, and AWS (EC2, SNS, SQS). Infrastructure runs on Kubernetes with Terraform; observability via Datadog, Prometheus, and Grafana. API layer uses OpenAPI and AsyncAPI.
Key projects include monolith decomposition, payment and billing innovation, automation of operational processes (dunning, delivery), B2B/B2C distribution strategy scaling, API platform development, and platform-wide security and reliability improvements.
Mosh'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.