Enterprise staffing and IT consulting with API integration and automation expertise
Cloudious is a staffing and IT consulting firm founded in 2016, based in San Jose, with a technical footprint built on MuleSoft, Salesforce, ServiceNow, and AWS. The stack reveals deep expertise in API orchestration (Mule, RAML, Apache Camel) and enterprise workflow automation — capabilities they're applying across client engagements in insurance (Guidewire suite), banking, and telecom. Active hiring is heavily skewed toward senior technical roles (6 of 8 open positions) and technical leads, paired with engineering-focused staffing projects, suggesting they're scaling delivery capacity rather than expanding into new service lines.
Notable leadership hires: Technical Lead
Cloudious is a talent acquisition and IT consulting firm serving mid-market and enterprise clients across technology, financial services, insurance, healthcare, and telecommunications. The company operates as a self-owned firm and offers managed services, staff augmentation, employer-of-record payrolling, vendor management, and technical consulting. With offices in the Bay Area and hiring footprint spanning the US, Canada, and India, Cloudious combines workforce placement with hands-on IT project delivery, particularly in API integration, enterprise platform migrations, and automation modernization for clients undergoing digital transformation.
Cloudious uses MuleSoft, Salesforce, ServiceNow, AWS, Jenkins, Git, Java, React, Angular, and Guidewire insurance platforms. The stack emphasizes API orchestration (RAML, Apache Camel, SOAP) and enterprise automation tooling (Automation Anywhere).
Active projects include ServiceNow ITOM service mapping implementation, WinBatch migration to C# .NET, and automation solution design. The company is also addressing legacy automation migration and platform modernization challenges for clients.
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Cloudious LLC'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.