SAP, Oracle and NetSuite ERP implementation and migration consulting
Maitsys is a Boston-based ERP consultancy whose stack centers on SAP S/4HANA, FICO and EWM alongside Oracle Cloud HCM, Oracle Integration Cloud and NetSuite, with a deep SQL Server toolchain behind reporting and data work. Hiring is accelerating and almost entirely senior, with an Oracle HRMS Lead opening and project demand clustered on HR cloud transitions, SAP batch management in EWM and NetSuite analytics, pointing to delivery-heavy client migration work.
Notable leadership hires: Oracle HRMS Lead
Maitsys is a privately held IT consulting firm founded in 2023 and headquartered in Boston, Massachusetts, with 201–500 employees. It delivers digital transformation, cloud, SAP migration and support, and cybersecurity services. Its practice spans SAP modules such as FICO, MM, SD, QM and Extended Warehouse Management, Oracle E-Business Suite and Cloud HCM, NetSuite, and supply chain planning on Kinaxis RapidResponse. The firm works across AWS, Azure and GCP and currently recruits in the United States and Argentina.
Maitsys works with SAP S/4HANA, ABAP, SAP FICO and EWM, Oracle Cloud HCM, Oracle Integration Cloud, NetSuite, Kinaxis RapidResponse, and the SQL Server suite including SSIS, SSRS and SSAS, plus Jira and GLPI.
Maitsys is currently hiring in the United States and Argentina, with hiring accelerating and focused mainly on senior engineering talent plus finance, HR, legal and sales roles.
Current work includes HR cloud transitions, integration platform modernization, SAP batch management rollout in WM/EWM, SAP FICO implementation, and a NetSuite analytics warehouse implementation.
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Maitsys'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.