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Tradl AI in Bengaluru is building India's first AI trading co-pilot for 100M+ traders. We are seeking a backend leader to own the platform architecture across real-time data pipelines, AI/ML serving, and quantitative computation.
You will decompose a monolith into domain microservices, design REST and WebSocket APIs, and ensure sub-100ms latency with scalable DevOps on AWS EKS and Kubernetes.
Tradl AI is building India's first AI trading co-pilot for 100M+ traders.
Today, we convert natural language into verified, code-backed stock intelligence - no hallucinations, no black boxes. Tomorrow, we're building the full stack: real-time chart intelligence, autonomous research agents, and portfolio-aware execution. We're turning what institutional desks spend millions on into a conversation anyone can have. We're live, growing fast, and the hardest technical problems are still ahead of us.
Our tech stack spans real-time market data ingestion (Kafka + TimescaleDB processing millions of ticks/day), AI/ML infrastructure (custom LLM orchestration + quant computation engines), a React/Next.js web platform, and native mobile apps - all built for sub-100ms latency because in trading, milliseconds matter.
We are building the engineering team that will scale this from hundreds to hundreds of thousands of concurrent traders.
Every AI response, every live market feed, every trade execution, and every portfolio calculation runs through Tradl's backend. During market hours, the system must handle thousands of concurrent WebSocket connections, serve sub-100ms API responses, and maintain zero-downtime reliability. Traders are making real-money decisions on this infrastructure. This role owns the backend platform architecture, from real-time data pipelines to AI/ML serving and quantitative computation, and serves as the technical anchor for the engineering team.
This role is on-site at HSR, Bangalore.