About the Role
Join a small engineering team at a Series A logistics technology company, building partner-facing integrations and data-heavy distributed systems for temperature-controlled and high-value shipments. Your work will help logistics teams understand shipment conditions, assess risk, and respond to exceptions.
What You'll Do
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Design, build, and own end-to-end data flows across partner APIs, webhooks, carriers, sensors, and other vendors.
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Develop backend services that ingest, normalize, contextualize, and process operational and IoT data.
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Build systems that support real-time shipment risk analysis, on-time and in-full prediction, and automated exception workflows.
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Maintain reliable data pipelines through warehousing, monitoring, observability, and on-call support.
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Work independently as a senior individual contributor, collaborating with a small team to deliver scalable, dependable integrations.
What We're Looking For
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At least 5 years of backend engineering experience building scalable distributed systems, including 10 or more years building production data pipelines.
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Hands-on proficiency in Python and TypeScript or Node.js, plus SQL and relational data modeling.
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Experience with external partner integrations, multi-vendor ingestion, config-driven transformations, and production data flows.
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Knowledge of IoT data ingestion and contextualization, event-driven architecture, and messaging systems such as Kafka or RabbitMQ.
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Experience with REST or gRPC APIs, Docker, Kubernetes, and a cloud platform such as AWS, GCP, or Azure.
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Strong software engineering practices, including testing, CI/CD, monitoring, and observability.
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Logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data experience is beneficial.
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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