Digital transformation services spanning cloud, analytics, IoT, and system integration
Solutis is a São Paulo-based technology services firm built around cloud platforms (Azure, AWS), modern application frameworks (Spring, Node.js, React, Angular), and infrastructure monitoring (Grafana, Prometheus, Zabbix). The hiring profile—weighted toward senior engineers and tech leads, with active recruiting across 12 engineering roles—reflects a company scaling delivery capacity rather than rebuilding its core platform. Pain-point clustering around network reliability, cost optimization in analytics, and automation suggests client-side infrastructure modernization is the primary revenue driver.
Notable leadership hires: Tech Lead
Solutis delivers digital transformation services to mid-market organizations in Brazil, with offerings spanning cloud infrastructure, analytics pipelines, IoT integrations, mobile development, and managed services. The company operates across ten active project streams including network evolution, system integration, AI automation features, and cloud service automation—all supported by a Java/Spring and modern frontend stack (React, Angular, Node.js). The 501–1,000 employee base is concentrated in engineering and support roles, indicating a services-delivery model built on retained technical teams rather than pure consulting.
Core stack: Java (Spring Boot, Spring Data, Spring Security, Spring Batch, Spring Integration), Python, Node.js, React, Angular. Infrastructure: Azure, AWS, Zabbix, Grafana, Prometheus, Nagios. Integration: Apache Camel, Apigee, API Gateway. Databases: SQL Server, Hibernate ORM.
Ten active project streams: network infrastructure evolution, system integration services, AI-driven automation, feature roadmaps and scalability planning, videoconference solutions, A/B testing platforms, marketing cloud implementations, data management platform (DMP) setup, data orchestration, and cloud services automation.
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Solutis Tecnologias'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.