RBI-approved omnichannel payments platform for merchants and financial institutions in India
airpay operates a regulated payments infrastructure serving over a million business owners across India, the Middle East, and Africa. The tech stack spans React, Node.js, Django, and MongoDB—a conventional full-stack shape for payment systems—but the hiring narrative reveals where energy is concentrated: sales dominates open roles (10 of 21), with finance (4) and engineering (2) in support. Active projects cluster around tax compliance tooling and ERP implementation rather than core payment features, suggesting the company is solving operational scaling challenges for its own growing network of subsidiaries.
Notable leadership hires: Tech Lead, Cluster Head
airpay is a payments and financial services platform built for the Indian market, offering in-store (POS), online, and cross-border collection capabilities under RBI regulation. Founded in 2012, the company operates across 501–1,000 employees, headquartered in Mumbai. Beyond transaction processing, airpay has expanded into lending, tax compliance tracking (GST, transfer pricing, direct tax), and ERP infrastructure. Revenue drivers include acquiring new merchants, scaling subscription services, and deepening relationships with banks and financial institutions across India, the Middle East, and Africa.
airpay's stack includes React, Next.js, and Angular for front-end; Node.js, Express, and Nest.js for back-end; Django and Flask for data services; MongoDB and MySQL for persistence; and Redis for caching. Sketch, Figma, and Adobe tools support design and content workflows.
Current projects include ERP implementation, lending platform development, GST and direct tax compliance trackers, transfer pricing compliance tools, acquiring new merchants, and merchant onboarding optimization. The company is also building tax audit and statutory reporting capabilities.
airpay payment services'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.