Medical, security evacuation and travel risk management services
Global Rescue delivers evacuation, field rescue, security extraction and travel risk intelligence to enterprises, governments and individual travelers. Its hiring tilts toward marketing and partner lead generation, while engineering runs a Java/Spring Boot and Angular stack across AWS, Azure and GCP with Kafka, RabbitMQ and MQTT messaging. That points to a real-time alerting backbone. An open CFO search and AI work on intelligence products signal a company in a growth and restructuring phase.
Notable leadership hires: Chief Financial Officer
Global Rescue is a privately held provider of medical advisory, evacuation, field rescue, security extraction and crisis response services, founded in 2004 and headquartered in Lebanon, NH. It serves corporations, government agencies, academic institutions and individual travelers, and also offers travel insurance and risk intelligence. The company employs 201–500 people and hires in the United States and Pakistan. Its business spans direct consumer memberships alongside B2B and B2B2C partner channels.
Global Rescue builds on Java, Spring Boot, Hibernate and Angular with TypeScript. It runs MySQL, PostgreSQL, SQL Server and DynamoDB, uses Kafka, RabbitMQ and MQTT for messaging, and deploys with Docker and Kubernetes across AWS, Azure and GCP.
Yes, and hiring is accelerating. Marketing and engineering lead the mix, followed by operations, security and finance. Notable openings include a Chief Financial Officer role, with hiring in the United States and Pakistan.
Global Rescue is headquartered in Lebanon, New Hampshire, United States. It was founded in 2004 and employs between 201 and 500 people.
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Global Rescue'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.