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.

Why This Role Exists :

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.

What You'll Own :

- Design and build the REST + WebSocket API layer that serves the web app, mobile apps, and future third-party integrations.

- Handle rate limiting, authentication (OAuth 2.0 + broker SSO), caching, versioning, and documentation.

- Build a native order management system with a full execution stack.

- Manage order placement, position sync, holdings management, margin calculation, and risk controls.

- Develop this as a unified platform layer, not a third-party broker abstraction.

- Decompose the monolith into domain-bounded microservices such as User Service, Query Engine, Market Data Service, Portfolio Service, and Alert Service.

- Build and manage the WebSocket gateway for live data streaming.

- Handle 10K+ concurrent connections, reconnection logic, and efficient subscription management.

- Manage AWS EKS (Kubernetes) orchestration, CI/CD pipelines (GitHub Actions), auto-scaling policies, and incident response.

What We're Looking For :

- 5-8 years of backend engineering experience with expertise in GoLang, C++, Rust, or Java.

- Strong experience in distributed systems including microservices, event-driven architecture, message queues, and eventual consistency.

- Solid database design skills with PostgreSQL (primary), Redis (caching + pub/sub), and time-series data handling.

- Hands-on experience with Kubernetes and Docker in production environments, including managing EKS/GKE clusters, writing Helm charts, and configuring auto-scaling.

- Strong API design principles with focus on consistent response formats, proper HTTP semantics, pagination, and error handling.

Bonus Points :

- Experience with broker or trading platform APIs including order lifecycle, market data WebSockets, and position management.

- Experience managing WebSocket systems at scale (10K+ concurrent connections, efficient pub/sub routing).

- Experience building fintech systems handling real money such as payments, wallets, or trading platforms.