IT staffing and technology consulting for regulated enterprise clients
Sharp Decisions is a New York IT staffing and consulting firm whose job posts mirror client engagements: capital-markets data platforms, securities reference data, and legacy data modernization. The stack spans .NET, React, Angular, Azure, Tableau and Power BI alongside industrial tools like ABB RobotStudio and EtherCAT, pointing to placements well beyond finance. Hiring is accelerating and skews senior, led by engineering and data roles, with OIDC and OAuth 2.0 newly appearing.
Notable leadership hires: Lead Developer
Sharp Decisions is a privately held IT staffing and technology consulting firm founded in 1990 and headquartered in New York, NY, with additional U.S. offices. It places technologists and delivers project, program, QA, DevOps, cybersecurity and business analysis services. Client sectors include financial services, healthcare, manufacturing, government, and media and telecommunications. The company runs a veteran-focused talent program and a consulting arm, D-Sharp.io, and offers nearshore and offshore delivery. It employs 201–500 people.
Its roles reference .NET, Python, Django, Node.js, TypeScript, React, Angular, Vue, Azure, Oracle, Salesforce, ServiceNow, Workday, Tableau and Power BI, plus industrial tools like SolidWorks and ABB RobotStudio.
Yes, hiring is accelerating across the United States, concentrated in senior engineering and data roles, with finance, security, legal and marketing positions and a Lead Developer opening.
Job posts cite a strategic capital-markets data platform, a securities and pricing reference data system, data feed development, KPI scorecard reporting, and robotic calibration using machine vision.
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Sharp Decisions'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.