IT staffing and engineering services for healthcare, manufacturing, and financial services
Logix Guru is a 51–200-person staffing and engineering services firm operating since 2000, headquartered in Murrysville, Pennsylvania. The stack spans legacy industrial systems (SCADA, HMI, CNC) alongside modern cloud and data tools (Azure DevOps, SageMaker, TensorFlow, Tableau), reflecting a client base split between modernization projects and ongoing support for manufacturing and financial operations. Active hiring across engineering and data roles signals near-term growth, though the single visible project (GCP migration) and sparse adopting/replacing data suggest a service-delivery org focused on client work rather than product development.
Logix Guru provides application engineering, cloud migration, data analytics, DevOps, and quality assurance services to mid-market enterprises in healthcare, banking, manufacturing, and life sciences. The firm maintains a distributed delivery model: over 1,400 professionals placed at client sites and a 100+ in-house team. In 2023, the company opened an office in Noida, India to expand delivery capacity. The technical footprint spans Microsoft stack (.NET, SQL Server, Azure DevOps), data platforms (SAS, Tableau, SageMaker), and industrial automation (SCADA, HMI), positioning the firm as a generalist integrator for digital transformation.
Primary: C#, .NET, SQL Server, Azure DevOps, Jira. Data: SAS, Tableau, SageMaker, TensorFlow. Industrial: SCADA, HMI, CNC. Also: Python, Java, Oracle, React, Angular, Workday.
Murrysville, Pennsylvania (Greater Pittsburgh Region). The company also operates an office in Noida, India, opened in 2023.
Logix Guru'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.