About the Role
Join a small integrations team as a senior individual contributor building backend services and data-heavy distributed systems for a logistics technology platform focused on temperature-controlled and high-value shipments. You will own external partner data flows end to end, helping teams spot shipment risks and respond to issues reliably.
What You'll Do
Design, build, and operate backend services that ingest and contextualize IoT and partner data from multiple vendors.
Own partner data flows from API, webhook, queue, carrier, and sensor ingestion through normalization, warehousing, monitoring, and on-call support.
Build event-driven systems and workflows that support shipment risk analysis, exception handling, and on-time, in-full performance.
Develop and maintain APIs, data models, and integrations with attention to reliability, scale, and operational visibility.
Deploy and operate services on cloud infrastructure, contributing to testing, CI/CD, monitoring, and observability.
What We're Looking For
At least 5 years of backend engineering experience building scalable, data-heavy distributed systems.
Strong hands-on proficiency in Python and TypeScript or Node.js, plus relational databases, SQL, and data modeling.
Experience owning external partner-facing integrations and production data flows, including ingestion and normalization.
Familiarity 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 operational support.
Ability to work independently as a senior contributor; logistics, cold-chain, supply-chain, or shipment-risk experience is useful.
Knowledge of NoSQL databases, ETL, or data security and privacy considerations is also beneficial.
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.