Nearshore software engineering staffing for North American tech companies
Velozient places Latin American software engineers with North American tech firms on a nearshore, no-upfront-fee model. The hiring mix (12 of 15 active roles in engineering, weighted toward senior and lead levels) and active project list (cloud platform buildouts, ISO 27001 compliance, CI/CD automation, database optimization) suggest Velozient's clients are scaling infrastructure and security posture—not just filling junior seats. The stack spans SQL Server, AWS, PostgreSQL, React, and Datadog, indicating placements range from backend infrastructure to full-stack and data roles.
Velozient connects North American technology companies with software engineers, QA specialists, DevOps engineers, data engineers, and product managers based in Latin America. The model eliminates upfront fees and exclusivity; clients evaluate candidates directly and can adjust commitments with short notice. Velozient guarantees the quality of every placement. The company operates across Brazil and Colombia, focusing on candidates who work U.S. hours and maintain strong English and technical communication skills. Internally, the organization is engineering-driven, with current hiring concentrated in backend, infrastructure, and full-stack roles at senior and mid levels.
Velozient staffs engineers from Brazil and Colombia. All candidates work U.S. hours with strong English proficiency and technical communication skills.
Placements span SQL Server, AWS, PostgreSQL, React, Angular, C#, Datadog, Snowflake, and Tableau. Current client projects include AWS cloud platform solutions, CI/CD automation, database optimization, and ISO 27001 compliance initiatives.
Velozient'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.