About the Role
Join a small engineering team building the backend and integrations behind a logistics decision-intelligence platform for temperature-sensitive and high-value shipments. You will own data-heavy systems that turn partner and IoT data into reliable shipment visibility and timely risk insights.
What You'll Do
Design and build backend services and distributed systems for logistics orchestration and shipment risk analysis.
Own end-to-end partner data flows, from integrating and normalizing multi-vendor and IoT data through warehousing, monitoring, and operational support.
Develop event-driven services and predictive workflows that support shipment risk assessment, on-time and in-full performance, and exception handling.
Build and maintain partner-facing APIs, webhooks, queues, and other external integrations.
Improve the reliability and scalability of services through testing, CI/CD, monitoring, and observability.
What We're Looking For
At least 5 years of backend engineering experience building scalable, distributed production systems, with roughly 6 to 10 years preferred.
Hands-on proficiency in Python and TypeScript or Node.js, plus SQL, relational data modeling, and experience with NoSQL databases and ETL pipelines.
Experience with IoT data ingestion and contextualization, partner APIs, event-driven architectures, and messaging systems such as Kafka or RabbitMQ.
Practical experience with Docker, Kubernetes, REST or gRPC APIs, and cloud platforms such as AWS, GCP, or Azure.
Strong production ownership, including deployment, on-call support, security considerations, and service observability.
Ability to work independently as a senior individual contributor; logistics, supply chain, cold-chain, or regulated healthcare experience is a plus.
Compensation & Benefits
Base salary is $130,000 to $160,000 annually, plus equity and a cash bonus. Visa sponsorship is available.
Location
Remote within the United States.