India's multi-product fintech platform spanning payments, lending, and investment services
MobiKwik operates a diversified fintech stack built on Java, Python, PySpark, and AWS—with heavy investment in data science (SageMaker, Spark, Hive, Presto) and emerging AI tooling (LangChain, OpenAI Assistants API, AutoGen). Current engineering focus is split between high-stakes backend infrastructure (ultra-low-latency stock broking, real-time trading systems) and risk-automation layers (fraud modeling, regulatory compliance workflows), revealing a platform pivoting from consumer-first payments toward capital-markets and credit-risk capabilities. Senior-heavy hiring in engineering signals deep technical scaling, not headcount expansion.
MobiKwik is a public fintech platform operating across consumer payments, digital credit, and investment products in India. The company serves 18 crore+ consumers and 47.9 lakh+ merchants through mobile wallet, bill payments, money transfers, BHIM UPI, buy-now-pay-later, and brokerage services. Engineering and data operations are centered in Gurugram. The platform architecture spans transaction processing (payments, recharges), credit origination and collections workflows, and a newly scaled stock-broking engine with strict latency requirements.
Java, Python, PySpark, SQL, AWS, SageMaker, Apache Spark, Hive, Presto, LangChain, OpenAI Assistants API, Go, MQTT, WebSockets, and Jenkins. Heavy reliance on big-data processing and AI-assisted risk/compliance automation.
Core projects include ultra-low-latency stock broking, real-time trading systems, fraud and credit risk modeling, regulatory compliance automation, collections optimization, and IoT device management for backend communication.
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