AI, data, and cloud engineering consultancy plus technology staffing
Brilliant Infotech is an Edison, NJ consultancy delivering AI agents, data engineering, and cloud platform work alongside technology staffing. Its detected stack spans modern tools (Snowflake, BigQuery, Vertex AI, Kubernetes, AWS) and legacy mainframe tech (COBOL, CICS, DB2), and job posts cluster on mainframe automation modernization, which points to client legacy-to-cloud migration work. Hiring is accelerating, led by senior engineering with a notable marketing push.
Notable leadership hires: Account Director
Brilliant Infotech is a privately held IT consulting and engineering firm founded in 2007 and headquartered in Edison, New Jersey, with 51–200 employees. It builds AI automation, including agents, RAG systems, and voice solutions, and also delivers platform engineering, DevOps, and data engineering services. Clients include financial services firms, B2B SaaS companies, business services operators, and private equity operating teams. The firm also supplies contract, full-time, and project-based technology talent across AI, data, cloud, cybersecurity, and enterprise systems. Current hiring is focused in the United States.
Its stack includes Python, AWS, GCP, Snowflake, BigQuery, Vertex AI, Kubernetes, Power BI, and Power Platform, plus COBOL, CICS, and DB2 for mainframe work. Selenium, Playwright, and Cypress cover testing, and HubSpot supports sales.
Brilliant Infotech is headquartered in Edison, New Jersey, United States. It is a privately held firm founded in 2007, and its current hiring is concentrated in the United States.
Job posts point to an enterprise automation modernization initiative, cloud and infrastructure modernization, cloud data pipelines on AWS and Azure, EcoStruxure cloud migration planning, and resiliency improvement.
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Brilliant Infotech 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.