IT services and digital transformation for eCommerce and cloud-native platforms
GBIT delivers IT consulting, system integration, and managed services focused on eCommerce and digital transformation. The tech stack reveals a data and AI-forward engineering org: Snowflake + Databricks + Azure Synapse power data pipelines; Python + .NET + Java span backend services; React + Node.js handle frontend work. Active projects center on generative AI (RAG pipelines, agentic frameworks, virtual assistants) and streaming data architecture—a sharp pivot from traditional consulting toward AI-driven platform engineering. Hiring velocity is accelerating, heavily weighted to senior engineers (41 of 55 open roles), signaling deep technical hiring rather than pure staffing.
Notable leadership hires: Chief Architect
GBIT is a mid-sized IT services firm headquartered in Irving, Texas, founded in 2006. The company specializes in eCommerce platform development, digital strategy, and managed infrastructure services, with hands-on expertise in Magento and Shopify integration, cloud solutions (Azure, AWS, GCP), and data analytics. A recent internal shift toward AI and advanced data pipelines suggests the company is repositioning itself beyond legacy system integration into data-intensive modernization work. The hiring mix—predominantly senior engineers and data specialists—reflects this transition. GBIT operates a global delivery model with teams in the United States and India.
GBIT's stack spans cloud platforms (Azure, AWS, GCP), data systems (Snowflake, Databricks, Azure Synapse), and application frameworks (.NET, Java, Spring Boot, Python, React, Node.js). Adopting Azure Functions and Magento; Kafka, Kubernetes, and Docker support containerized and streaming workloads.
Active projects include generative AI frameworks (RAG pipelines, agentic AI, intelligent virtual assistants), batch and streaming pipeline optimization, ML ops, data platform scaling, and A/B testing for eCommerce. Work also addresses enterprise architecture and AI-ready data infrastructure.
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