Veza builds an identity security platform that maps and governs entitlements across multi-cloud environments. The stack pairs Go, Python, and Java services on Kubernetes with Neo4j, a graph database suited to modeling who-can-access-what relationships. LangGraph and AutoGen also appear, pointing to agentic AI work. Hiring is currently minimal and limited to senior support roles in Slovenia and India, suggesting a focus on scaling customer support rather than headcount expansion.
Veza, founded in 2020 and headquartered in Silicon Valley, is a privately held identity security company with 201–500 employees. Its access platform helps enterprises see, monitor, and control entitlements to meet compliance requirements and enforce least privilege. Use cases span privileged access monitoring, non-human identity security, SaaS access, and identity governance. The platform integrates with identity and cloud environments including Okta, AWS, Azure, GCP, and Oracle Cloud.
Veza uses Go, Python, and Java, running on Docker and Kubernetes across AWS, Azure, GCP, and Oracle Cloud. The frontend uses React and TypeScript, Neo4j handles graph data, and LangGraph and AutoGen support AI work.
Hiring is currently minimal. Open roles are senior-level support positions, with hiring in Slovenia and India.
Veza is headquartered in Silicon Valley, United States. It was founded in 2020 and has 201–500 employees.
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Veza'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 →
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