AI-powered endpoint security and threat detection platform
SentinelOne operates a unified security data platform (Singularity) spanning endpoint protection, SIEM, cloud security, and managed threat services. The tech stack reveals a company scaling data infrastructure at extreme volume: Java, Python, Kafka, Kubernetes, and cloud services (AWS, GCP, Azure) dominate, with active adoption of Go and CSPM tooling. The hiring mix is heavily weighted toward engineering (79 of 195 active roles), and project backlog centers on data platform services, cloud-native infrastructure, and multi-tenant Kafka consolidation—matching their stated pain points around processing petabytes of telemetry and reducing data processing costs.
Notable leadership hires: Engineering Director
SentinelOne is a public cybersecurity company headquartered in Mountain View, serving Fortune 500 and Global 2000 organizations with a platform that consolidates endpoint detection, response, cloud security, and 24/7 managed threat services. Founded in 2013, the company operates at 1,001–5,000 employees across 22 countries. Revenue model combines direct sales (59 active sales roles) with managed services delivery. The engineering organization is distributed globally, with centers in Czechia, Israel, India, and the US.
Java, Python, C++, Go, Kubernetes, Kafka, AWS, GCP, Azure, Apache Airflow, Jenkins, GitHub, Terraform, ArgoCD, DynamoDB, and Redis. Currently adopting CSPM, Go, and Playwright.
22 countries: United States, India, Israel, Czechia, Slovakia, Germany, Poland, Australia, Singapore, UAE, Qatar, Japan, Canada, Italy, Netherlands, Switzerland, Malaysia, Brazil, Thailand, Mexico, France, and Costa Rica.
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