IT services firm delivering SAP, integration, data and AI programs
Miracle Software Systems is a Novi, Michigan IT services firm whose current hiring centers on SAP S/4HANA delivery tied to shop-floor systems like MES, SCADA and PLCs. Alongside that, its stack spans IBM integration tooling, SnapLogic, Databricks, Snowflake Cortex and Microsoft Fabric, pointing to a parallel push into GenAI, RAG pipelines and AI-readiness consulting. Hiring is accelerating and skews senior, with manufacturing and data roles leading.
Notable leadership hires: Communications Lead
Miracle Software Systems is a privately held IT services company founded in 1994 and headquartered in Novi, Michigan. It delivers cloud, application development, process automation, data and analytics, B2B/EDI integration and digital experience services to enterprise clients. Its delivery work covers SAP S/4HANA and SAP EWM implementations, IBM App Connect, DataPower and API Connect integration, and data platforms such as Databricks, Snowflake and Microsoft Fabric. The company employs 1,001–5,000 people and currently hires in the United States.
Its stack includes SAP S/4HANA, SAP EWM, SAP Integration Suite, IBM App Connect Enterprise, IBM API Connect, SnapLogic, Databricks, Snowflake, Microsoft Fabric, Python, FastAPI, Elasticsearch and Apache Airflow.
Miracle Software Systems is headquartered in Novi, Michigan, United States, and was founded in 1994.
Current work includes SAP S/4HANA implementations and upgrades, SAP EWM and yard logistics architecture, GenAI applications, retrieval-augmented generation pipelines, Elasticsearch search systems and AI readiness assessments.
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Miracle Software Systems, 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.