About the Role
This is a senior individual contributor role on a small, fast-moving Series A team building a cold-chain risk-management and logistics orchestration platform for pharma and perishables shippers. You'll own the data-heavy distributed systems that ingest IoT monitoring data, contextualize it in real time, and power shipment-risk quantification decisions — work that directly protects high-value cargo around the world.
What You'll Do
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Design and build backend services for a logistics orchestration and decision-intelligence platform.
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Own distributed systems that ingest, process, and contextualize IoT sensor and carrier data at scale.
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Build predictive systems for on-time, in-full (OTIF) performance and automate exception-handling workflows.
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Integrate partner-facing data sources — webhooks, message queues, carrier and sensor vendor APIs — into a unified, normalized data layer.
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Design and evolve event-driven architectures using messaging systems such as Kafka or RabbitMQ.
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Operate and scale services on cloud infrastructure (AWS, GCP, or Azure) using Docker and Kubernetes.
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Collaborate cross-functionally with product and leadership to translate domain requirements into reliable, scalable software.
What We're Looking For
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5–15 years of backend engineering experience building scalable, data-intensive distributed systems.
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Proficiency in at least one modern backend language — Python, Java, Go, or Rust; hands-on Python and/or Java strongly preferred.
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Experience with IoT data ingestion, processing, and contextualization.
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Solid grounding in relational databases, SQL, and data modeling; familiarity with NoSQL databases and ETL pipelines is a plus.
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Hands-on experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, or similar).
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Experience deploying and operating services on cloud platforms with Docker and Kubernetes.
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Experience designing REST and/or gRPC APIs.
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Strong software engineering practices: testing, CI/CD, monitoring, and observability.
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Ability to work independently as a senior IC and influence architecture and product decisions without close supervision.
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Domain knowledge in logistics, cold chain, supply chain, or IoT/telematics is a meaningful advantage.
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Familiarity with data security, privacy, and regulatory considerations relevant to pharma or temperature-controlled logistics.
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Prior experience at a growth-stage startup or within logistics/supply-chain technology is a plus.
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Eligible to work in the United States or able to obtain sponsorship.
Compensation & Benefits
Base salary $130,000–$160,000 annually, plus equity and a cash bonus. Visa sponsorship is available.
Location
Fully remote, US-based.