Custom software and cloud migration services for enterprise modernization
DaCodes is a 220-person software services firm headquartered in Houston, built around AWS infrastructure work—Kubernetes, Terraform, Lambda, RDS dominate their stack. The hiring mix is heavily senior-weighted (20 of 29 open roles) across engineering and data, with active projects centered on legacy-to-AWS migrations and Salesforce implementations, signaling a mature, project-delivery business scaling through specialized expertise rather than platform innovation.
DaCodes delivers custom software development and enterprise modernization services, with technical depth across cloud infrastructure, web and mobile applications, and CRM systems. The company operates a distributed team of 220+ across the US, Portugal, Mexico, Colombia, Peru, and Guatemala, predominantly serving mid-to-large organizations undertaking digital transformation. Their project focus spans AWS cloud-native architecture, legacy application migration, infrastructure automation with Kubernetes and Terraform, and Salesforce platform implementation. Pain points center on managing multi-country delivery, optimizing cloud costs at scale, and executing complex Salesforce projects—typical friction points for services firms coordinating distributed teams across multiple client initiatives.
DaCodes uses AWS extensively (Kubernetes, Lambda, ECS, Fargate, RDS, CloudFormation), Terraform for infrastructure-as-code, Node.js and Python on backend, Java and .NET, and React/Angular/Vue on frontend. Salesforce is also core to their platform delivery.
DaCodes actively recruits in the United States, Portugal, Mexico, Colombia, Peru, and Guatemala, supporting a distributed, global delivery model.
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DaCodes.'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.