Blockchain-based network for digitizing global trade documents
TradeWindow operates a distributed-ledger trade platform built on AWS + Kubernetes with Python and Node.js backends, augmented by recent AI tooling (Claude, GPT-4, LangChain, LangGraph, pgvector, Pinecone). The tech stack reveals a maturing infrastructure—strong DevOps (Terraform, CloudFormation, CI/CD focus)—paired with active RAG pipeline and vector-database work, suggesting the team is embedding AI into trade-document workflows. Mid-level hiring across engineering and product signals steady scaling, though customer churn appears a near-term pressure.
TradeWindow is a blockchain-powered network enabling businesses to trade globally through a digitized, trust-based platform. Built in New Zealand and founded in 2019, the company focuses on supply-chain digitization—specifically trade documents, certificates of origin, shipping manifests, and trade-finance workflows. The product runs on AWS infrastructure (RDS, DynamoDB, Elasticsearch, Kafka) with multi-database support (PostgreSQL, MySQL, MariaDB, MongoDB). Operations span engineering, product, and customer support roles across New Zealand, Australia, and the Philippines.
AWS, Kubernetes, Docker, Python, Node.js, FastAPI, PostgreSQL, Elasticsearch, Apache Kafka, and recently added Claude, GPT-4, and LangChain for AI-driven backend services.
Cloud infrastructure scaling, CI/CD pipeline implementation, LLM integration into backend services, RAG pipelines with vector databases, and AI-driven feature development for customer implementations.
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