Rekor applies AI and machine learning to roadway and vehicle data, spanning license plate recognition, traffic data collection and public-safety use cases. Its stack pairs streaming infrastructure (Kafka, Kinesis, Spark, Airflow) with a mature AWS DevOps layer (EKS, Terraform, ArgoCD, Checkov, OPA). Hiring that mixes engineering with construction-side roles and traffic control planning points to field deployment work alongside the software.
Rekor Systems is a publicly traded company headquartered in Columbia, Maryland, with 201–500 employees. It builds AI-driven systems that capture and organize mobility data from roadways. Its focus areas include license plate and vehicle recognition, public safety and law enforcement, security, parking access, citation management and camera systems. Current hiring is concentrated in the United States across engineering, construction, data and sales functions.
Rekor uses Python, Kotlin, Kafka, Kinesis, Apache Spark, Apache Airflow, MongoDB and Redis on AWS, with Kubernetes, Docker, Terraform, AWS CDK, Jenkins and ArgoCD for infrastructure and delivery.
Rekor is headquartered in Columbia, Maryland, United States, and currently hires in the United States.
Job posts point to traffic data collection and processing work plus temporary traffic control plans, alongside efforts to fix sales process and pipeline inefficiencies.
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Rekor'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.
