Investigation, case and incident management platform for public safety
Kaseware builds a cloud investigative platform covering case, incident, evidence and records management, run on Java, PostgreSQL and Kubernetes across both AWS EKS and Azure AKS. Hiring is accelerating and almost entirely senior engineering, with roles spread across the US and six European countries. Job posts point to an infrastructure buildout for international deployments under FedRAMP High and RPO/RTO pressure, with GitOps delivery on ArgoCD at the core.
Kaseware, founded in 2016 and headquartered in Denver, CO, develops software for incident reporting, investigations, case management and intelligence work. Its specialties include records management, CAD, evidence management, link analysis and information sharing. Customers span law enforcement, government, non-profit and commercial organizations responsible for safety and security. The privately held company employs 51–200 people. Its front end uses React, Angular and Vue. Salesforce, HubSpot, Zendesk and Sage Intacct support sales, customer support and finance.
Kaseware runs Java and PostgreSQL on Kubernetes across AWS EKS and Azure AKS. Terraform, Helm, ArgoCD and GitLab handle infrastructure and delivery. Datadog, Prometheus, Grafana and Elasticsearch provide observability.
Yes. Hiring is accelerating and is dominated by senior engineering roles, with a smaller support component. Open work centers on cloud infrastructure, CI/CD and GitOps.
Kaseware is hiring in the United States, Sweden, Finland, Poland, Germany, Croatia and Belgium. This footprint matches its push toward international cloud deployments.
Other companies in the same industry, closest in size
Kaseware'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.