The Client is a payment cost optimization platform that automatically monitors every transaction for interchange and data quality issues — and fixes them in real time. This legal tech company serves 50,000+ lawyers. The client brings enterprise-grade payment intelligence to every business.
You will be an engineer on a small, high-ownership team, working directly with the Founder & Product Owner to build and scale the core platform. You’ll design and implement features across the full stack, from data ingestion pipelines to the user-facing interface.
Responsibilities: * Build and maintain asynchronous data processing pipelines for payment transaction data * Integrate with payment processors such as Stripe, Worldpay, and others via API and SFTP file exchange * Ingest, parse, and extract structured data from Visa and Mastercard PDF rule publications using AI-assisted analysis * Use extracted card network data to automatically detect interchange downgrades and enrich transaction metadata * Optimize interchange rates by improving the quality of outbound transaction data sent to processors * Develop robust, scalable React front-end features for the client’s dashboard and customer-facing tools * Deploy and operate services on AWS using ECS and Docker in a cloud-native architecture * Collaborate with PO as a hands-on co-builder — you will own large parts of the codebase
Requirements: * 8+ years of professional engineering experience with a strong Node.js and React background * Demonstrated experience building payment or financial integrations (Stripe, Worldpay, or similar) * Comfortable working with asynchronous transaction flows and event-driven architectures * Experience with SFTP-based data ingestion and file processing at scale * Strong AWS experience (Lambda, ECS, containerized workloads or similar) * Excited about applying AI/ML techniques to document parsing and data quality problems * Self-directed and communicative — you thrive in small, focused teams with high ownership * At least Intermediate English proficiency, both spoken and written
