Social care platform connecting health systems and governments to services
Findhelp runs a social care network platform on a Python stack (Django, FastAPI, Pydantic) with a React/TypeScript front end across both GCP and AWS, with Terraform newly being adopted. Hiring is accelerating and splits evenly between engineering and support, skewed senior, while job posts repeatedly cite legacy refactoring, Python codebase scaling and interoperability, pointing to a platform-hardening phase alongside customer-retention pressure.
Notable leadership hires: State Director
Findhelp is an Austin, TX-based, privately held software company founded in 2010 with 201–500 employees. It provides a platform that helps health systems, government agencies and payers identify social needs, coordinate social services and handle benefits enrollment. The business serves population health and Medicare-adjacent markets through a SaaS and platform model. Hiring is concentrated in the United States, including a State Director leadership role.
Findhelp builds on Python with Django, Django REST Framework and FastAPI, a React and TypeScript front end, GCP and AWS infrastructure, GitLab, Cloudflare, and Salesforce and HubSpot for go-to-market. It is adopting Terraform.
Yes. Engineering and support are Findhelp's largest hiring areas, with a senior-heavy mix, and overall hiring velocity is accelerating. All hiring is in the United States.
Job posts point to nationwide social-services platform integration, AI-driven account health monitoring, legacy code refactoring, a self-service infrastructure-as-code platform and CI/CD pipeline optimization.
Other companies in the same industry, closest in size
Findhelp'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.