Nearshore software partner for healthcare innovation and enterprise modernization
Darwoft is a 201–500-person nearshore software shop founded in 2010, headquartered in Portland and hiring out of Brazil. The tech stack—Java, Spring, React, PostgreSQL, Kafka, Terraform, Docker—points to a company building and modernizing backend-heavy systems. Active projects span AI agent integration, microservices migration, and graph-based retrieval, while pain points cluster around scaling systems and migrating monolithic architectures. The hiring surge (11 roles in 30 days, nearly all senior engineers) suggests they're scaling project delivery alongside a shift toward AI-enabled platform work.
Darwoft accelerates software innovation for healthcare companies, startups, and enterprises through staff augmentation, MVP development, application modernization, and data + AI services. The company operates as a nearshore partner, delivering across healthcare, fintech, telecommunications, and retail. Their service model spans full-cycle development (backend, frontend, UX/UI design), infrastructure (AWS, Kubernetes, CI/CD), and emerging AI capabilities. With cross-functional agile teams, they take on greenfield builds and legacy system transformations.
Java, Spring Boot, React, TypeScript, PostgreSQL, Oracle, Kafka, AWS, Docker, Terraform. Testing: JUnit 5, Jest, Mockito. Design: Figma, Adobe XD. Monitoring: Datadog, Prometheus.
AI agent integration, microservices platform builds, legacy system modernization, graph-based semantic retrieval systems, and regulatory intelligence platforms. Primary pain point is scaling systems and migrating monolithic architectures to microservices.
Darwoft'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.