Backend Engineer developing backend services for AI-driven supply chain workflows. Collaborating with product experts to build scalable logistics solutions in a hybrid work setting.
Responsibilities
Design and build backend services that power supply chain workflows — from order management to LSP integrations and real-time tracking.
Develop event-driven pipelines that process high-throughput logistics data reliably and at scale.
Build and maintain integrations with third-party logistics providers, ERPs, and warehouse management systems.
Own and evolve the data models that represent complex supply chain entities: shipments, inventory positions, fulfillment nodes.
Identify performance bottlenecks and lead the engineering effort to resolve them in production systems.
Work with LLM APIs (OpenAI, Anthropic, Gemini) to build intelligent workflows and automation.
Collaborate closely with Product and domain experts to translate operational complexity into clean technical solutions.
Contribute to architecture decisions and raise the engineering bar through rigorous code reviews and documentation.
Requirements
5-7+ years of experience in backend engineering, ideally within logistics, supply chain, or operations-intensive domains.
Strong command of Java (Spring Boot) or equivalent JVM-based frameworks; Python a strong plus.
Experience designing systems that handle real-time data ingestion and processing (Kafka, Kinesis, or similar).
Comfortable with relational databases (PostgreSQL) and modeling complex, interrelated business domains.
Pragmatic approach to distributed systems — you understand trade-offs around consistency, availability, and latency.
Exposure to third-party API integrations and the messiness that comes with legacy and external systems.
Intellectually curious, detail-oriented, and motivated by shipping things that work reliably in the real world.
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