Global systems integrator modernizing legacy infrastructure with cloud and AI
Foursys is a 1,000+ person systems integrator founded in 2000, headquartered in Brazil but hiring across Brazil, Portugal, and the US. The stack reveals a company spanning legacy monoliths (Windows Server, SQL Server, VB) and modern platforms (AWS, Azure, Databricks, Kafka, Spark) — their active projects and pain points confirm they're executing two parallel strategies: migrating workloads to cloud (Azure data pipelines, stack modernization) while embedding AI (internal AI platform, corporate LLM gateway, chatbot implementations). Engineering dominance in the hiring mix (137 of 222 roles, mostly senior/lead level) signals heavy project delivery and technical depth required for complex legacy-to-modern transitions.
Notable leadership hires: Technical Lead, Tech Lead .NET, Tech Lead .Net, Java Lead, Tech Lead
Foursys delivers digital transformation services to mid-market and enterprise clients globally, with particular strength in business design, system development, and data architecture. Their project portfolio spans data governance and analytics modernization (Databricks, Power BI, Kafka pipelines), mobile and backend systems (Java, Scala, Swift), and infrastructure automation (CI/CD, IDP evolution via Backstage). The company operates across three geographic centers (Brazil, Portugal, US) and is actively scaling engineering capacity, with 110 new roles posted in the last 30 days. Core challenges include integrating legacy systems into cloud environments, maintaining data security and governance at scale, and reducing incident rates during architectural transitions.
Foursys runs on AWS, Azure, SQL Server, and Windows Server for infrastructure; Java, Python, Scala for backend services; Swift and Objective-C for mobile; and Databricks, Kafka, Apache Spark for data pipelines. They're adopting Scala, Kafka, and identity tools (Okta, SailPoint, CyberArk) while replacing IBM Integration Bus.
Current projects include legacy workloads modernization, scalable data ingestion pipelines on Azure, internal AI platform and LLM gateway development, CI/CD automation, Backstage IDP evolution, and AI chatbot implementations. They're also focused on golden record governance and process automation.
Other companies in the same industry, closest in size