IT services firm delivering Java, AWS and integration work for enterprises
Q1 Technologies is a Chicago-based IT services and staff augmentation provider whose stack splits into two worlds: Java/Spring and AWS cloud-native delivery on one side, CATIA and Enovia aerospace engineering on the other. Accelerating, senior-heavy hiring centers on engineering and data, with webMethods integration, Apache Flink pipelines and lakehouse architecture pointing to deep enterprise data and integration engagements.
Notable leadership hires: Java Technical Lead
Q1 Technologies, Inc. is a privately held IT solutions and services company founded in 2002 and headquartered in Chicago, Illinois. It provides software development, consulting, technology integration, managed services, cybersecurity and staff augmentation to enterprise clients, and also resells hardware and software as a value-added reseller. Delivery combines on-site, off-site and offshore teams. The company employs 1,001–5,000 people and hires across the United States, Canada, the United Kingdom, Switzerland and Italy.
Q1 Technologies works with Java, Spring Boot, Hibernate, Angular and React on AWS (Lambda, ECS, RDS, API Gateway), plus webMethods, Apache Flink, PostgreSQL, Kubernetes, Jenkins, and CATIA and Enovia for aerospace engineering.
Q1 Technologies is hiring in the United States, Canada, the United Kingdom, Switzerland and Italy, with engineering and data roles leading and a senior-level skew.
Current work includes enterprise integration solutions, Apache Flink ETL pipelines, cloud-native AWS builds, enterprise lakehouse architecture, AI/ML and BI analytics platforms, and aerospace airframe design programs.
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Q1 Technologies, Inc.'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.