IT staffing and consulting for pharma, telecom, and manufacturing
Source One is a staffing and consulting firm that places technical professionals in pharma, telecommunications, financial services, retail, and manufacturing. The project mix—autonomous vehicle testing, GMP manufacturing facilities, biologics process improvements, and Tableau automation—reveals a shift from traditional IT staffing toward engineering-heavy placement in hardware, compliance, and data domains. Active hiring skews senior (8 of 17 roles), with 11 engineering positions, signaling sustained demand for specialized technical placements rather than commodity contractor supply.
Source One Technical Solutions is a staffing and consulting firm founded in 1998, headquartered in Whitehouse, NJ. The firm specializes in placing IT, scientific, and engineering professionals into mid-to-large client organizations across pharma, telecom, financial services, retail, and manufacturing. Their model centers on deep client vetting and skills-matching, supported by a senior recruiting team that forecasts technology needs and maintains candidate pipelines. The company is WBENC certified and operates with decentralized management to enable local teams to respond to regional and client-specific demands.
Core tools include Slack, Jira, Confluence, AWS, Azure DevOps, Tableau, Oracle, and Python. Testing and automation rely on Selenium, Robot Framework, and pytest. Design and visualization use Adobe Creative Cloud, InDesign, and Photoshop.
Yes. 11 of 17 active roles are engineering positions, with 8 at senior level and 6 at mid-level. Hiring is accelerating and spans the United States and France.
Projects include autonomous vehicle testing and mapping, GMP-compliant manufacturing facility start-ups, biologics process improvements, Tableau dashboard automation, and energy efficiency programs. Work spans in-field testing, middleware frameworks, and capex-intensive manufacturing initiatives.
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Source One Technical Solutions'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.