Direct-to-consumer index fund platform built for India's retail investors
Zerodha Fund House operates a lean fintech unit focused on index fund distribution and investor onboarding. The tech stack reveals a production-grade financial system: Kafka for event streaming, PostgreSQL + Redis for transactional consistency, Kubernetes for orchestration, and AWS with GuardDuty for security — appropriate for handling high-concurrency transactions. Active projects around payroll automation, fraud detection, and compliance monitoring suggest the org is scaling operational complexity faster than headcount, driving a mid-level engineering team to tackle fault tolerance and manual process reduction in parallel.
Zerodha Fund House is a financial services company in Bengaluru offering index funds to retail investors in India. The company operates as a direct-to-consumer platform, building in-house capabilities across fund distribution, investor onboarding, and back-office operations. Core infrastructure spans distributed systems (Kafka, Kubernetes, PostgreSQL) and cloud hosting on AWS. Current operational focus includes payroll automation, compliance monitoring against Indian regulatory requirements, and fraud signal detection — all critical for a regulated financial entity managing investor accounts at scale.
Core stack includes Kafka for streaming, PostgreSQL and Redis for data storage, Kubernetes and Docker for deployment, Java and Go for backend services, and AWS infrastructure with GuardDuty security monitoring. Frontend tooling spans Selenium and Postman for testing.
Active projects include a direct-to-consumer investor platform, in-house payroll automation, onboarding validation systems, fraud anomaly detection, and investor journey lifecycle management — all aimed at reducing manual intervention and improving process accuracy.
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