Community management platform for professionally managed residential properties
CINC Systems builds software for professionally managed communities—a niche but operationally complex vertical requiring mobile-first experience, event-driven backend architecture, and multi-tenant compliance. The tech stack (Flutter, React Native, iOS, Android backed by AWS microservices, Kubernetes, and Datadog) reflects a mobile-centric product with heavy infrastructure concerns. Active projects in microservices, observability, and AI-assisted workflows signal modernization across both frontend and backend; pain points around mobile platform overhaul, cloud spend, and client implementation velocity suggest the product is scaling faster than internal tooling.
CINC Systems provides property management software for professionally managed residential communities, operating since 2005 out of Duluth, Georgia. The platform manages resident interactions, financial workflows, and operational tasks within community associations. The engineering organization is distributed across mobile development (Flutter, React Native, native iOS/Android), backend services (Go, Python, microservices on AWS), and infrastructure (Kubernetes, Terraform, CloudFormation). Current hiring spans engineering, operations, support, and data roles, with emphasis on mid to senior individual contributors and principals.
Cross-platform mobile (Flutter, React Native, Swift, Kotlin), backend services (Go, Python, Java), AWS infrastructure (ECS, Fargate, Kubernetes), and observability (Datadog, CloudWatch). IaC via Terraform and Terragrunt; version control on Bitbucket and GitLab.
Primary hiring in the United States; also actively recruiting in Colombia.
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CINC Systems'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.