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
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Design and build backend services and distributed systems for logistics orchestration and shipment risk analysis.
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Own end-to-end partner data flows, from integrating and normalizing multi-vendor and IoT data through warehousing, monitoring, and operational support.
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Develop event-driven services and predictive workflows that support shipment risk assessment, on-time and in-full performance, and exception handling.
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Build and maintain partner-facing APIs, webhooks, queues, and other external integrations.
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Improve the reliability and scalability of services through testing, CI/CD, monitoring, and observability.
What We're Looking For
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At least 5 years of backend engineering experience building scalable, distributed production systems, with roughly 6 to 10 years preferred.
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Hands-on proficiency in Python and TypeScript or Node.js, plus SQL, relational data modeling, and experience with NoSQL databases and ETL pipelines.
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Experience with IoT data ingestion and contextualization, partner APIs, event-driven architectures, and messaging systems such as Kafka or RabbitMQ.
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Practical experience with Docker, Kubernetes, REST or gRPC APIs, and cloud platforms such as AWS, GCP, or Azure.
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Strong production ownership, including deployment, on-call support, security considerations, and service observability.
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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.
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