At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics.  Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.

We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics.

Responsibilities

• Develop the end-to-end experience for AI-powered products, including data pipelines, backend services, and user interfaces for interacting with the Kargo platform.
• Build and evolve Kargo’s customer-facing dashboards and applications, creating intuitive experiences that help users understand and act on complex logistics data.
• Develop software experiences across multiple surfaces - web, mobile, and kiosk interfaces deployed on Kargo Towers and forklifts.
• Collaborate with Product and Solution Engineers to build our agentic AI product suite.
• Strengthen the stability, scalability, and measurability of our backend systems.

Experience

• 5+ years of software engineering experience building products at scale.
• Strong experience in TypeScript and Python.
• Experience building and shipping enterprise or consumer-facing products, with a strong understanding of how product needs translate into technical requirements.
• Comfort working cross-functionally and with direct customer stakeholders.
• Experience building modern web applications and APIs, with the ability to own features across the full stack.
• Strong understanding of backend architecture, distributed systems, scalability, reliability, and fault-tolerant system design.
• Experience with production infrastructure and observability, including logging, monitoring, alerting, and debugging distributed systems.
• Degree in Computer Science, Engineering, or related field.