IT services and staffing firm specializing in cloud, data, and Microsoft ecosystem modernization
Infojini is a 501–1,000-person IT services and staffing firm founded in 2006, headquartered in Columbia, Maryland, with delivery centers across the US, India, Romania, and the UAE. The company's tech footprint—anchored in Azure, AWS, Snowflake, Salesforce, and the Microsoft stack—reflects a client base migrating legacy on-premise systems to cloud platforms. Current hiring is concentrated in engineering and HR roles, with momentum skewed toward mid-level talent, signaling capacity expansion rather than leadership restructuring; active projects include AWS data migration and low-latency pipeline work, which align with their stated data engineering and cloud modernization focus.
Infojini delivers IT services and staffing solutions to startups, mid-market, and Fortune 500 enterprises. The service portfolio spans software engineering (web/mobile development, CI/CD), Microsoft ecosystem work (Power BI, Power Automate, Dynamics 365, Azure), cloud infrastructure (AWS/Azure/GCP migration, Infrastructure as Code), data engineering (ETL/ELT pipelines on Snowflake and Databricks), ERP/CRM implementation (Salesforce, SAP, MS Dynamics), and cybersecurity (SOC 2, HIPAA, GDPR compliance). The company operates both staff augmentation (Agile Pods and delivery teams) and fixed-cost project models. With 3,000+ completed projects and certifications including CMMi Level 3, ISO, and SOC 2, Infojini positions itself as a vendor-agnostic integrator with depth in modernization and compliance-heavy verticals.
Core: SAP, Azure, AWS, Salesforce, Snowflake, SQL Server, Informatica Cloud, Oracle. Networking/security: Cisco, SolarWinds, Azure Firewall, F5, Juniper SRX. DevOps: GitLab. Business tools: Workday, HubSpot, Google Analytics. Also: Android, macOS, WordPress.
Columbia, Maryland, USA. The company also operates 10+ delivery centers globally, including locations in India, Romania, and the United Arab Emirates.
Infojini 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.