IT staffing and enterprise systems integration for mid-market organizations
Maarut is a Canadian staffing firm placing IT talent across development, data, and infrastructure roles. Their tech stack reveals a dual focus: heavy Salesforce/Power Platform integration work (Apex, Lightning, Copilot Studio, Apigee) paired with Azure cloud data engineering (Data Lake, Synapse, Data Factory). Active projects center on enterprise SaaS rollouts (M365, Salesforce Data Cloud) and service delivery modernization—a profile consistent with a consulting-adjacent staffing model where they staff AND own delivery for systems integration engagements.
Maarut Inc is a Toronto-based staffing and recruitment firm specializing in IT talent placement. The company helps organizations fill technical roles across application development, data engineering, DevOps, and infrastructure—with stated expertise in Salesforce, ERP/CRM systems, business intelligence, and cloud platforms. Beyond pure placement, Maarut runs its own delivery workstreams: enterprise platform rollouts (Microsoft 365, Salesforce), data modernization projects, and third-party system integrations. The 51–200 employee size and current hiring velocity (7 roles in the last 30 days, skewed toward senior and mid-level engineering) suggest growth in both staffing capacity and internal delivery bench.
Primarily Azure (Data Lake, Synapse, SQL Database, Blob Storage, Data Factory), Salesforce (Apex, Lightning, Flow, Financial Services Cloud, Data Cloud), Power Platform, and Java/Spring. Also GCP and identity/API layers (Auth0, OAuth 2.0, Apigee, SAML).
Enterprise SaaS deployments (M365 rollouts, Salesforce Data Cloud), Copilot Studio delivery, service design modernization, and third-party system integrations. Projects center on data quality/security, compliance coordination, and integrated service delivery.
Maarut 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.