Instant personal lending platform for young Indians, 65M+ customers
mPokket operates a consumer lending platform built on Python, Java, Node.js, React, and Flutter—a full-stack mobile-first architecture typical of high-volume consumer fintech. Active hiring across engineering and data roles signals scaling pressure, while the project list (test automation, anomaly detection, internal developer platform, SDLC optimization) reveals a maturing org focused on operational efficiency and compliance (SOC 2, PCI-DSS). The gap between 11 open roles and significant platform/QA infrastructure work suggests they're addressing testing and deployment friction at scale.
Notable leadership hires: Flutter Lead, Tech Lead
mPokket provides instant personal loans up to ₹2,00,000 for salaried professionals, part-time earners, and self-employed Indians. Founded in 2016, the company now serves over 65 million customers through a mobile-first platform (Flutter + React frontend, Python/Java backend on AWS/GCP). The product targets financial accessibility for young India, positioning itself as a quick alternative to traditional lending. Operating in the 1,001–5,000 employee range from Kolkata, the company maintains a 4.6/5 rating on Google Play Store and invests in workplace culture (4.4+ on AmbitionBox).
Python, Java, Node.js, React, Flutter, Firebase, AWS, GCP. Backend spans Spring Boot and FastAPI; data pipelines use Spark Streaming and Kafka. Testing tooling includes Selenium and JMeter.
Core platform scaling, test automation framework expansion, AI-based anomaly detection, internal developer platform, and process automation. Heavy focus on QA, SDLC bottlenecks, and reducing change failure rates.
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