IT staffing and consulting for utility, Salesforce and Oracle projects
Donnelly & Moore is a New York IT consulting and staffing firm whose current job posts read like client engagements rather than internal needs. The stack pairs Salesforce Energy & Utility Cloud, Oracle Fusion and SCADA/PI Vision with infrastructure tooling like Terraform, Ansible and Nutanix, and NERC CIP compliance plus darksite patching point to placements inside regulated power utilities. Hiring is accelerating and skews senior engineering.
Notable leadership hires: Agile Delivery Lead
Donnelly & Moore Corporation is a privately held IT consulting and recruiting firm headquartered in New York, NY, founded in 1997. It fills mid- to senior-level IT staffing requirements on a project basis for organizations in sectors such as utilities, financial services, media, government, defense, telecom and education. The firm holds certifications including MWBE, DBE and EDWOSB, participates in a federal GSA contract program, and bids on city, state and federal work. It employs 51–200 people and currently recruits in the United States and Canada.
Current roles center on Salesforce (Apex, Lightning Web Components, MuleSoft), Oracle Fusion Cloud ERP and Oracle Integration Cloud, Boomi, Informatica, plus infrastructure tools like Terraform, Ansible, Nutanix, VMware and Prometheus.
Yes. Hiring is accelerating and concentrated in senior engineering roles, with smaller ops and support needs and an Agile Delivery Lead opening, across the United States and Canada.
Donnelly & Moore is headquartered in New York, NY, and serves clients across the New York tri-state area, with current hiring in the United States and Canada.
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Donnelly & Moore Corporation'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.