Digital transformation and software services across Latin America
Baufest operates a distributed IT services firm with 900+ professionals across nine service centers spanning the US, Spain, and Latin America. The tech stack reveals a dual-platform cloud strategy—AWS, Azure, and GCP all actively adopted, with no replacement signals—paired with heavy investment in data modernization (Spark, Hadoop, Qlik, Power BI) and emerging AI (conversational agents, semantic search). Hiring velocity is accelerating, heavily weighted toward engineering (23 of 31 open roles), with senior and lead-level focus, suggesting a scaling push around cloud migrations and data platform work.
Baufest delivers software development, data science, and digital transformation services to over 200 companies across 50 countries. The firm operates service centers in Seattle, Miami, Madrid, Linares, Mexico City, Buenos Aires, Santiago de Chile, Lima, and Montevideo, enabling nearshore and distributed delivery models. Core capabilities span business transformation, digital strategy, data science, security, and project management. The company has completed over 2,000 projects and maintains a presence across cloud platforms (AWS, Azure, GCP), business intelligence tools (Power BI, Tableau, Qlik), and modern application stacks (React, Next.js, Python, TypeScript).
Baufest runs on AWS, Azure, and GCP for cloud infrastructure; Power BI, Tableau, and Qlik for analytics; Salesforce for CRM; React and Next.js for frontends; Python, TypeScript, and JavaScript for development; and Kubernetes/EKS for container orchestration.
Baufest is headquartered in Buenos Aires, Argentina, with service centers in Seattle, Miami, Madrid, Linares, Mexico City, Santiago de Chile, Lima, and Montevideo. Active hiring spans Peru, Argentina, and Mexico.
Baufest'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.