About the role
About the Role
Join a small engineering team building data-heavy distributed systems for a logistics software platform focused on temperature-controlled and high-value shipments. You will own external partner data integrations that help logistics teams understand shipment conditions and respond to risks.
What You'll Do
* Design and build backend services and integrations for logistics and shipment data.
* Own partner data flows from multi-vendor ingestion and normalization through warehousing, monitoring, and on-call support.
* Process and contextualize IoT data to support shipment risk analysis and operational decisions.
* Build event-driven services and automate exception-handling workflows.
* Work with partner APIs, webhooks, queues, carriers, sensors, and vendors to deliver reliable data exchanges.
* Improve service scale and reliability through testing, CI/CD, monitoring, and observability.
What We're Looking For
* Five to fifteen years of backend engineering experience, including five or more years building scalable distributed systems.
* Hands-on experience designing and operating production data pipelines and end-to-end partner integrations.
* Proficiency in Python and TypeScript or Node.js, SQL, relational data modeling, and REST or gRPC API development.
* Experience with event-driven architectures and messaging systems such as Kafka or RabbitMQ.
* Experience with Docker, Kubernetes, and deploying services on AWS, GCP, or Azure.
* Background in IoT data ingestion, processing, and contextualization, with strong software engineering practices.
* Logistics, supply chain, cold-chain, shipment risk, or regulated data experience is valuable; familiarity with NoSQL, ETL, and data security is also useful.
* Able to work independently as a senior individual contributor on a small integrations team.
Compensation & Benefits
Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.
Location
Remote within the United States.