INDmoney operates a cross-border investment platform spanning Indian stocks, derivatives, mutual funds, and US equities—all from a single mobile app. The tech stack is mobile-native (Swift, SwiftUI, UIKit) paired with server-side Go and Python on AWS/GCP/Azure, indicating a consumer-grade mobile experience backed by polyglot infrastructure. Current hiring focus is product and engineering (5 of 10 roles), with active projects centered on conversion optimization, lending product development, and site performance—signaling a push to scale both acquisition and user engagement while broadening product scope beyond trading.
INDmoney is an Indian fintech platform founded in 2019, enabling retail investors to access Indian and US markets through a single application. The product covers stocks, futures & options, mutual funds, ETFs, and retirement (NPS) accounts, with integrated UPI payments. The company is Series D-backed and SEBI-registered as INDstocks Private Limited. Based in Gurgaon with 201–500 employees, INDmoney operates across three primary entities: INDmoney (consumer app), INDstocks (trading/brokerage), and INDglobal (US market access). The organization is actively hiring across product, engineering, support, and growth functions, primarily in India.
Mobile: Swift, SwiftUI, UIKit, Core Data, async/await. Server: Go, Python. Cloud: AWS, GCP, Azure. CI/CD: GitLab, Bitrise, CircleCI, Jenkins. Testing: Appium, Espresso, XCUITest, TestNG, JUnit. Project management: Jira, Trello.
Current priorities include A/B testing conversion flows, designing lending product features, site migration and performance optimization (core web vitals, crawl budget), market research, and improving account opening and contribution metrics. Community engagement and growth partnerships are also active initiatives.
INDmoney'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.