IT services and staffing firm specializing in legacy infrastructure modernization
TESTQ Technologies is a UK-based IT services and staffing provider with 51–200 employees, serving clients across multiple sectors. The tech stack reveals a heavy Oracle and Java enterprise foundation (Oracle Database, WebLogic, Spring Boot) paired with modern containerization (Kubernetes, Docker, OpenShift). Active projects center on migrating legacy RHEL workloads to OpenShift and supporting cash equities and regulatory change initiatives, indicating the company is helping clients transition monolithic on-premises systems to cloud-native infrastructure.
TESTQ Technologies is a privately held IT services and staffing firm founded in 2007 and headquartered in Leicester, England. The company offers IT recruitment, technical staffing, software development, software testing, and digital transformation services across multiple industry verticals, with particular strength in UK public sector procurement. They maintain a distributed team across the UK and India, and their project mix reflects work in financial services modernization (cash equities, regulatory change) and large-scale infrastructure migration (RHEL to OpenShift) for enterprise clients managing legacy systems.
Top technologies include Azure DevOps, Oracle (Database, WebLogic, REST Data Services), Kubernetes, Docker, Terraform, GitLab CI/CD, Salesforce (Data Cloud, CDP, Marketing Cloud), and Red Hat Enterprise Linux / OpenShift for containerization and orchestration.
Current initiatives include legacy RHEL to OpenShift migration, OpenShift cluster design and configuration, cash equities integration, and regulatory and market structure change programs.
TESTQ Technologies'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.