Nearshore custom software and legacy modernization services firm
DaCodes is a Houston-based custom software consultancy whose stack spans Java/Spring, React, Angular and Flutter alongside low-code platforms like OutSystems, Mendix, Appian and Power Platform, which signals multi-client delivery rather than a single product. Hiring is accelerating and skews heavily senior engineering across Latin America, with project work centered on AWS migrations and Salesforce modernization. A parallel marketing push targets paid media ROI and lead generation.
Notable leadership hires: Full Stack Technical Lead
DaCodes builds custom web, mobile and enterprise software for client organizations, including CRM and Salesforce work. Founded in 2014 and headquartered in Houston, Texas, the privately held firm employs 201–500 people. Its delivery team is distributed across Mexico, the United States, Argentina, Peru, Colombia, Costa Rica and Chile. Engagements include legacy application modernization, cloud-native builds on AWS, integrations with external systems and work for clients in regulated sectors such as financial services.
DaCodes works with Java, Spring, Hibernate, React, Angular, Flutter, PostgreSQL, Kafka, RabbitMQ, Redis, Docker and GitLab CI/CD, plus Salesforce and low-code tools like OutSystems, Mendix, Appian and Power Platform.
DaCodes hires in Mexico, the United States, Argentina, Peru, Colombia, Costa Rica and Chile, with demand concentrated in senior engineering roles.
Current work includes migrating legacy applications to AWS, designing cloud-native AWS solutions, modernizing Salesforce platforms, a financial sector engagement and a marketing and demand generation engine.
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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.