Senior Backend Engineer

Description

Rekor Systems, Inc. ( Rekor.ai ) (NASDAQ: REKR) is a trusted global authority on Roadside Intelligence, providing innovative solutions with the mission to drive the world to be safer, smarter, and more efficient. Rekor products combine IoT technology, connected vehicle telemetry data, computer vision data, and machine learning to enable the future of Public Safety, Urban Mobility, and Traffic Management. With our disruptive technology and integrated solutions, we deliver a transformative, global impact for customers and citizens every day.

As a Senior Backend Engineer, you will play a key role in contributing to the design, development, and delivery of high-quality backend solutions. You’ll work across squads and take an active role in shaping scalable infrastructure and intelligent data-driven services.

You will work with technologies such as Kotlin, Python, Kafka, Kinesis, and Kubernetes, while collaborating closely with product, DevOps, and machine learning teams. You’ll help guide the evolution of backend systems through architectural decision-making and strategic adoption of productivity tools like Copilot and Cursor.

We’re looking for someone who leads by example, thrives in cross-functional environments, and is passionate about scalable, intelligent systems.

Key Responsibilities

• Take a proactive role in a business-driven Squad and own your domain
• Design, implement, test, deploy, and monitor backend infrastructure and business features
• Maintain high-quality standards and write readable, testable, modular, and maintainable code
• Build tools and processes to improve and accelerate our development lifecycle and take our road safety solutions to the next level
• Collaborate while sharing your knowledge with other team members throughout the R&D
• Contribute to backend infrastructure initiatives, from design to implementation, with a focus on scalability, maintainability, and system performance
• Contribute to the adoption and integration of Generative AI tools and practices to enhance developer productivity and code quality
• Contribute to core infrastructure decisions and backend architecture at scale
• Act as a strong contributor to engineering excellence through cross-functional collaboration
  
  

• 7+ years of backend development experience in JVM-based environments (Java/Kotlin – Kotlin preferred)
• Experience with distributed, microservice-based architectures
• Deep understanding of both RDBMS and NoSQL databases
• Experience working with high-scale data and traffic, including tools such as Redis, MongoDB, Kafka, Kinesis
• Solid knowledge of cloud services, Docker, CI/CD pipelines, and Kubernetes
  
  

• Contribute to the adoption and integration of Generative AI tools and practices that improve engineering workflows
• Familiarity with Generative AI tools such as Cursor, GitHub Copilot, or similar technologies