Cloud-based physical security platform unifying video, access control, and sensors
Verkada operates a unified physical security platform built on Python, Go, Java, and Kubernetes, with heavy investment in machine learning (TensorFlow, Keras, Caffe) for computer vision. The company is adopting ArgoCD and Istio—infrastructure-as-code patterns typical of scaling distributed systems—while sunsetting Carta, a signal of maturing internal finance tooling. Hiring is sales-heavy (117 roles vs. 71 engineering), reflecting a channel and partner-driven go-to-market pushing into Fortune 500 accounts and new geographies across 13 countries.
Notable leadership hires: Compensation Director, Associate Creative Director
Verkada manufactures and operates a cloud-connected platform for physical security, integrating video surveillance, access control, sensors, alarms, and intercoms through a centralized command interface. The company serves 30,000+ organizations globally, from small businesses to enterprises. Verkada's stack spans embedded systems (Kotlin, Swift, C/C++ for device firmware), cloud backend (Python, Go, Kubernetes, PostgreSQL, DynamoDB on AWS and GCP), and frontend (React, TypeScript). The sales organization is expanding aggressively across North America, Europe, and Asia-Pacific to penetrate Fortune 500 accounts, while engineering is focused on scaling the web platform and acquiring specialized talent in security and machine learning.
Backend: Python, Go, Java, Kubernetes, PostgreSQL, DynamoDB, AWS, GCP. Frontend: React, TypeScript. Embedded/firmware: Kotlin, Swift, C/C++, Rust. ML: TensorFlow, Keras, Caffe. Infrastructure: ArgoCD, Istio.
San Mateo, California. The company employs 1,001–5,000 people and is actively hiring across the US, UK, Mexico, Poland, South Korea, Japan, Singapore, Sweden, Canada, Taiwan, Australia, France, and Germany.
Verkada'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.