Digital services firm specializing in mainframe modernization and cloud-native engineering
ImagineX operates at the intersection of legacy systems and modern cloud infrastructure, with a tech stack spanning mainframe (COBOL, CICS, DB2, GoldenGate) alongside contemporary platforms (AWS, Azure, Kafka, Snowflake). The hiring surge is heavily engineering-focused—15 of 17 active roles are engineers, predominantly senior level—and their project list reveals a clear pattern: systematic work to bridge mainframe and cloud APIs, reduce vendor lock-in, and automate observability across hybrid environments. This signals a deliberate shift toward managing complexity in large-scale enterprise modernization programs.
Notable leadership hires: Kafka Lead
ImagineX is a digital services firm building mission-critical systems for large enterprises. Based in Atlanta with delivery teams across the United States and Costa Rica, the company operates across three main disciplines: software product engineering, cloud-native infrastructure, and data/AI solutions. Their practice includes legacy system modernization (mainframe APIs, enterprise integrations), cloud deployment and operations (AKS, AWS), and quality engineering at scale. Projects span API governance frameworks, mainframe-to-cloud service migration, and CI/CD automation for complex messaging environments. The company was founded in 2015.
ImagineX runs on a hybrid stack: mainframe technologies (COBOL, CICS, DB2, Oracle GoldenGate), cloud platforms (AWS, Azure), data/streaming (Kafka, Snowflake, Iceberg), messaging (RabbitMQ, ActiveMQ, Amazon MQ), API management (MuleSoft, Apigee, Kong), and observability (Splunk, Terraform for IaC).
ImagineX is based in Atlanta, Georgia, with delivery operations spanning the United States and Costa Rica. The company was founded in 2015 and currently has 201–500 employees.
ImagineX'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.