Payment orchestration for marketplaces with embedded compliance and split payouts
Online Payment Platform operates a PHP + Laravel backend on AWS with Kubernetes orchestration, handling high-traffic payment flows for marketplace operators. The tech stack reveals a mature payments infrastructure: Redis caching, OpenSearch for transaction search, Kinesis for event streaming, and PySpark/Airflow for data pipelines. Hiring is concentrated in engineering (5 roles) and compliance-adjacent functions (legal, finance, ops), while project backlog is dominated by compliance automation and customer success processes—a pattern typical of fintech moving from product-market fit to regulatory scaling.
Online Payment Platform provides payment infrastructure for marketplaces and platform businesses. The core offering spans escrow settlement, PSD2-compliant payment initiation, KYC workflows, split/multi-split payouts, dispute resolution, and fraud handling—covering the full payment orchestration surface for complex multi-party transactions. Headquartered in Delft, Netherlands, the company operates at 51–200 employees with engineering-led product development. Current focus areas include API documentation improvements, compliance framework automation across jurisdictions, and new in-platform payment flow design.
PHP and Laravel on AWS with Kubernetes, MySQL/Redis for data, OpenSearch for search, Apache Airflow/PySpark for analytics, and GitLab CI/CD for deployments.
KYC workflows, PSD2-compliant Payment Initiation Services, fraud handling, dispute resolution, and escrow settlement. Current roadmap prioritizes compliance framework automation and international scaling.
Online Payment Platform's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.