IT staffing and consulting firm specializing in data, cloud, and enterprise integration
Next Gen Software Solutions is a minority-owned IT consulting and staffing firm built around enterprise data and cloud workloads. The tech stack—IBM DataStage, Control-M, Kafka, Spark, Kubernetes, AWS/Azure/GCP—reflects heavy lifting in ETL automation and infrastructure. Current projects center on platform stability (ETL, scheduling, backup/recovery) and emerging IoT/embedded systems work, suggesting a pivot from traditional enterprise integration toward cloud-native and edge compute. Hiring velocity is accelerating with 8 roles posted in the last 30 days across engineering, HR, and ops.
Next Gen Software Solutions, founded in 2019 and headquartered in Ashburn, Virginia, is a staffing and consulting firm serving mid-market to enterprise clients on digital transformation initiatives. The firm operates across five practice areas: data science and advanced analytics, AI and machine learning, enterprise integration and cloud migration, business intelligence, and ERP transformation. The company's 51–200 employee base sits at the inflection point between pure staffing boutique and full-service consulting—they deploy pre-vetted engineers into client engagements while maintaining internal delivery teams for larger transformation mandates. The organization is actively hiring engineers, HR, and ops roles in the United States and India.
IBM DataStage, Control-M, Python, SQL Server, Oracle, SAP, Java, Spring Boot, Kafka, Apache Spark, Docker, Kubernetes, AWS, Azure, GCP, Jenkins, and Ansible. Stack spans ETL automation, enterprise integration, cloud platforms, and containerization.
ETL platform stability and Control-M scheduling optimization, cloud database solutions, automated backup and recovery, GCP IoT integration, and customization of Android for embedded systems. Projects reflect both enterprise integration maintenance and emerging IoT/edge compute initiatives.
Next Gen Software Solutions LLC'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.