Torq operates a containerized, cloud-native SOC platform (AWS, GCP, Kubernetes, Docker) built on Python and Go, with heavy instrumentation via OpenTelemetry, Prometheus, and Grafana. The hiring profile is heavily sales-weighted (32 of 61 active roles), paired with active project work on account-based strategies and regional expansion—indicating a company in high-velocity GTM scaling. Pain points around deployment friction and manual security processes map directly to the product's automation narrative.
Torq is a Security Operations Center (SOC) platform that combines AI reasoning with automated response workflows. The product ingests alerts from an organization's security stack, contextualizes risk, and orchestrates response actions—eliminating manual triage and evidence collection. Founded in 2020 and based in New York, the company operates a 201–500-person organization with distributed hiring across the US, Israel, Central Europe, and parts of Latin America and Asia. Current traction centers on enterprise-segment sales, with parallel effort on SMB (SLED) motion and public-sector messaging.
Torq runs on AWS and GCP with Kubernetes and Docker containerization. Backend services use Python and Go; observability relies on OpenTelemetry, Prometheus, Grafana, and VictoriaMetrics. Infrastructure automation spans Terraform, Terragrunt, GitLab CI, Jenkins, and ArgoCD.
Torq actively hires across the United States, Israel, Slovenia, Switzerland, Poland, Mexico, Brazil, Uganda, Pakistan, and Indonesia, reflecting a distributed global workforce strategy.
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Torq'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.