Join a small engineering team building data-heavy distributed systems for a logistics technology platform serving temperature-controlled and high-value shipments. You will own partner-facing integrations and the data flows that help logistics teams understand shipment conditions and respond to risk.
Design and operate end-to-end partner data flows, from multi-vendor ingestion and normalization through warehousing, monitoring, and on-call support.
Build backend services and event-driven systems that ingest, process, and contextualize IoT sensor and shipment data.
Develop integrations with external partner APIs, webhooks, queues, carriers, sensors, and vendors.
Build data models, APIs, and workflows that support shipment risk assessment and exception handling.
Improve service reliability through testing, CI/CD, monitoring, and observability.
Work independently as a senior individual contributor on a small integrations team.
Qualification
Experience with IoT dataExperience with DockerStrong software engineering practicesLogistics
Required
At least 5 years of backend engineering experience, with around 6 to 10 years preferred, building scalable production systems.
Hands-on proficiency in Python and TypeScript or Node.js, plus SQL, relational data modeling, and experience with NoSQL databases and ETL pipelines.
Production ownership of external partner integrations and end-to-end data pipelines, including multi-vendor ingestion and configurable transformations.
Experience with IoT data, event-driven architectures, and messaging systems such as Kafka or RabbitMQ.
Experience with Docker, Kubernetes, cloud platforms such as AWS, GCP, or Azure, and REST or gRPC APIs.
Strong software engineering practices, including testing, CI/CD, monitoring, and observability.
Logistics, supply chain, cold-chain, shipment risk, or regulated healthcare data experience is valuable, as is familiarity with related security and privacy requirements.
