Rekor Tech Stack

AI-powered traffic and vehicle intelligence from roadway camera networks

Software Development Columbia, Maryland 201–500 employees Public Company

Rekor operates a distributed traffic-data platform built on Kafka, Kinesis, Spark, and Kubernetes, processing vehicle and mobility signals from thousands of roadside sensors across US states. The project backlog reveals a company managing both the technical scaling (platform bottlenecks, cost monitoring, CI/CD infrastructure) and the field-operations complexity (sensor maintenance, vegetation upkeep, field-service scheduling) — typical of hardware-software hybrids. Hiring is accelerating but narrow: mostly engineering and field roles, with sparse sales traction, suggesting the business is still ramping production deployments rather than in full go-to-market mode.

Tech Stack 23 technologies

Core StackKotlin Python Kafka Kubernetes Redis MongoDB Docker Apache Airflow Apache Spark AWS Cursor Salesforce Jenkins ArgoCD Terraform CloudFormation Kinesis AWS EKS AWS ECS AWS CDK Checkov OPA IAM

What Rekor Is Building

◆Challenges

Standardizing proposal workflows
Improving proposal process efficiency
Maintaining traffic sensors across states
Maintaining vegetation at traffic count stations
Scaling platform to support high throughput
Maintaining soc 2 compliance
Eliminating platform bottlenecks
Resolving issues in a timely manner
Resolving product technical inquiries in real time

▲Active Projects

Proposal process improvement initiative
Proposal workflow standardization project
Traffic sensor maintenance across states
Vegetation maintenance at traffic count stations
Installation of in-road traffic sensors
Ci/cd platform improvement across jenkins, github actions, and argocd
Reusable terraform, aws cdk, and cloudformation modules
Cost monitoring and budget alerts implementation
Field service scheduling and coordination
Rma activity management

Hiring Activity

Accelerating6 roles · 2 in 30d

Department

Engineering

Construction

Data

Sales

Support

Seniority

Junior

Mid

Manager

Senior

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About Rekor

Rekor (NASDAQ: REKR) is a public company that collects and organizes mobility data from roadway camera and sensor networks, delivering insights to law enforcement, traffic departments, and parking operators. The platform ingests high-volume vehicle and license-plate recognition signals, processes them through a modern data pipeline (Kafka, Spark, Kubernetes on AWS), and surfaces actionable traffic intelligence. The company operates in the United States and manages the dual complexity of software scalability and physical-asset maintenance across distributed sensor locations.

HeadquartersColumbia, Maryland

Company Size201–500 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Rekor use?

Rekor's primary stack includes Kotlin, Python, Kafka, Kinesis, Kubernetes, MongoDB, Redis, Apache Spark, and AWS (EKS, ECS, CDK). CI/CD is managed through Jenkins, GitHub Actions, and ArgoCD; infrastructure is codified in Terraform and CloudFormation.

What is Rekor working on?

Core projects include scaling the data platform (cost monitoring, bottleneck elimination), modernizing CI/CD infrastructure (Jenkins, GitHub Actions, ArgoCD), standardizing proposal and field-service workflows, and maintaining distributed traffic sensors across multiple states.

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How this profile is built

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.