Nearshore software delivery with AI-augmented engineering pods
CodeRoad is a nearshore engineering services firm built on a 20+ year operating base across Latin America, now scaling AI-enabled delivery pods for North American technology teams. The tech stack reveals a mature, polyglot engineering organization—Java/Spring and .NET/C# backends paired with React frontends, running on AWS/Azure/GCP with Kubernetes infrastructure—while active project work spans cloud-native platforms, big-data systems, and enterprise AI adoption. Hiring velocity is accelerating with a senior-heavy mix (8 senior, 2 lead roles out of 13 open), indicating investment in delivery leadership rather than junior scaling.
CodeRoad provides nearshore software engineering and delivery services to mid-market and enterprise technology organizations. Founded in 2002, the company operates delivery centers across Latin America—primarily Colombia and Argentina—staffed by senior engineers, product leaders, and AI specialists working in real-time collaboration with North American clients. The service model focuses on end-to-end software execution: strategy-to-production delivery, platform modernization, and digital transformation projects. Client sectors span retail, automotive, transportation, financial services, and energy. Operationally, CodeRoad manages a portfolio that includes mission-critical infrastructure development, big-data and cloud-native systems, and emerging AI adoption programs, supported by internal initiatives around people scaling and multi-country compliance.
Java/Spring/Spring Boot, .NET/C#/ASP.NET Web API, Node.js/React/Express, SQL Server, MongoDB, AWS/Azure/GCP, Kubernetes, Terraform/Terragrunt. The team is transitioning from Angular/jQuery to newer frameworks.
Headquartered in Boca Raton, Florida. Actively hiring in the United States, Colombia, and Argentina to staff nearshore delivery pods.
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CodeRoad Inc'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 →
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