Brazilian R&D institute building AI, mobile, and cloud infrastructure at scale
SiDi is one of Brazil's largest R&D institutes, operating across three major tech hubs (Campinas, Manaus, Recife) with 501–1,000 employees. The tech stack reveals a classical enterprise-to-cloud transition: Java/Spring on-premises foundations paired with Kubernetes, AWS EKS, GCP, and Azure adoption, alongside emerging AI/ML capabilities (Python, NLP, computer vision, LLM orchestration). The hiring shape is engineering-dominant (54 of 76 active roles), skewed toward interns and seniors—typical of an institute blending junior talent pipelines with specialized research leads. Active projects span payment infrastructure, security/MDM, and AI agent systems, while pain points cluster around legacy architecture debt and cross-system data integration.
SiDi operates as a research and development institute focused on solving enterprise technology problems through consulting, AI, data science, IoT, and NLP. Founded in 2004, the organization has completed over 1,000 projects across Brazilian industries. The company sells to mid-market and enterprise customers seeking R&D partnerships, consulting, and custom software development. Scale spans infrastructure challenges (CI/CD, monitoring, procurement optimization) and domain-specific work (mobile device management, payment gateways, cybersecurity). Hiring is concentrated in Brazil with steady velocity across engineering roles.
SiDi's stack spans Java, Spring Boot, Kotlin, React, and Node.js for application code; Kubernetes, AWS EKS, GCP, and Azure for cloud infrastructure; Elasticsearch, NGINX, and HAProxy for data and load balancing; and Python, NVIDIA Omniverse, and ROS 2 for AI and robotics projects.
Active projects include AI/LLM orchestration for recommendation agents, computer vision and cybersecurity systems, payment gateway integration, mobile device management, intelligent reporting automation, and virtual assistant development.
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