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Senior Integrations Engineer

πŸ•’ yesterday
PythonTypeScriptNode.jsSQL
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πŸ“œ Description

  • Design and operate partner data flows from multi-vendor ingestion and normalization through warehousing, monitoring, and on-call support.
  • Build backend services and event-driven systems to ingest, process, and contextualize IoT sensor and shipment data.
  • Integrate external partner APIs, webhooks, queues, carriers, sensors, and vendors.
  • Develop data models, APIs, and workflows for shipment risk assessment and exception handling.
  • Improve reliability through testing, CI/CD, monitoring, and observability.
  • Work independently as a senior individual contributor on a small integrations team.

πŸ› οΈ Requirements

  • 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.

✨ Benefits

  • Base salary is $140,000 to $180,000 annually, with equity and a cash bonus. Visa sponsorship is available.
Full job description

About the Role

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.

What You'll Do

  • 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.

What We're Looking For

  • 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.

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.

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