Security, compliance and threat detection for SAP and Oracle EBS environments
Onapsis builds security and compliance software for business-critical ERP systems, with a stack spanning SAP S/4HANA, HANA, NetWeaver and Oracle E-Business Suite alongside Wireshark and tcpdump for traffic analysis. Engineering leads an accelerating hiring push, and job posts point to work on static code analysis and secure CI/CD, extending the product from runtime protection into the ERP development lifecycle.
Onapsis is a privately held cybersecurity company founded in 2009 and headquartered in Boston, Massachusetts. It sells to organizations running SAP and Oracle E-Business Suite, serving both security teams and ERP operations teams across cloud and hybrid deployments. Its platform covers vulnerability management, threat detection, compliance automation and secure development for ERP applications. The company employs 201–500 people and hires in the United States, United Kingdom and Romania. Its engineering runs on Python, JavaScript and React, deployed across AWS, Azure and GCP with Terraform, Docker and Kubernetes.
Onapsis uses Python, JavaScript and React, runs on AWS, Azure and GCP with Terraform, Docker and Kubernetes, and works deeply with SAP S/4HANA, SAP HANA, NetWeaver and Oracle EBS.
Onapsis is hiring in the United States, the United Kingdom and Romania, with hiring weighted toward engineering and accelerating recently. Marketing, product, sales and support roles are also open.
Job posts point to vulnerability management, a threat detection and response platform, compliance automation, static code analysis and security capabilities across the software development lifecycle.
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Onapsis'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.