Real estate CRM and operations platform for agents across Europe, Middle East, ANZ
Reapit operates a cloud-native CRM and property-management platform built on AWS (Lambda, RDS, DynamoDB, Step Functions, ECS, EKS) with C# backend infrastructure. Security hiring has accelerated sharply—6 of 9 recent roles are senior security and infrastructure specialists focused on ISO 27001 compliance, threat modeling, and cloud-security automation—signaling a deliberate shift toward hardening cloud posture and maturing incident response capabilities in a crowded proptech market.
Reapit is a London-based real estate technology provider serving estate agencies across Europe, the Middle East, Australia, and New Zealand. Founded in 1997, the company offers an integrated platform connecting property professionals (agents, brokers, landlords) with buyers, sellers, and tenants through CRM, lettings management, client accounting, and web presence tools. The product spans both sales and lettings workflows and targets agencies of all sizes. Operations span multiple regions with primary focus on UK market expansion and product-marketing maturation.
Reapit runs on AWS (Lambda, RDS, DynamoDB, API Gateway, SQS, Step Functions, ECS, EKS, Fargate) with C# / .NET Core backend, Terraform + AWS CDK for infrastructure as code, Docker containerization, Grafana for observability, and HubSpot for CRM tooling.
Yes. Security roles account for 3 of 9 active postings (33% of hiring), all at senior level, focused on cloud infrastructure, ISO 27001 compliance, and AWS security controls implementation.
Reapit is headquartered in London, England, and currently hiring exclusively in the United Kingdom.
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Reapit'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.