Enterprise data integration and AI modernization for Fortune 500 operations
CLOUDSUFI builds data infrastructure and AI automation for large organizations migrating legacy systems to cloud-native architectures. The stack reveals a hybrid-cloud operator (GCP, AWS, Azure) running Java/Kubernetes at scale, now rapidly adopting RAG, Databricks, and Salesforce—a shift toward generative AI and unified data platforms. Active hiring leans heavily toward senior engineering and data roles, with projects centered on knowledge graphs, WhatsApp chatbots, and Workday migrations, indicating a push into both customer-facing AI and internal workforce automation.
CLOUDSUFI partners with mid-to-large enterprises on digital transformation, cloud migration, and data modernization. Founded in 2019 and headquartered in San Jose, the company operates across three overlapping domains: backend infrastructure (Java, Kubernetes, multi-cloud orchestration), data supply-chain work (Kafka, Apache Airflow, Databricks), and generative AI applications (RAG systems, Stable Diffusion fine-tuning, LLM-powered chatbots). Current pain points center on legacy system migrations (especially Workday implementations), data quality at scale, and workflow automation. Recent hiring velocity is accelerating, predominantly in senior engineering and data functions based in India.
CLOUDSUFI operates across GCP, AWS, and Azure. The stack includes Kubernetes for orchestration, Cloud Run, and Terraform for infrastructure-as-code. GCP and AWS are primary; Azure is also in active use.
Yes. Active projects include RAG systems, Stable Diffusion fine-tuning for custom asset generation, and WhatsApp-based customer support chatbots. They are adopting Databricks and Cloud Data Fusion to support these initiatives.
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CLOUDSUFI'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.