Sr. Backend Developer

About TRADL AI:

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

• API Platform: Design and build the REST + WebSocket API layer that serves the web app, mobile apps, and future third-party integrations. Rate limiting, authentication (OAuth 2.0 + broker SSO), caching, versioning, and documentation.
• Broking Platform Core: Native order management system with full execution stack. Order placement, position sync, holdings management, margin calculation, and risk controls. Built as a unified platform layer, not a third-party broker abstraction.
• Decompose the monolith into domain-bounded microservices: User Service, Query Engine, Market Data Service, Portfolio Service, Alert Service.
• Real-Time Infrastructure: WebSocket gateway for live data streaming to clients. Manage 10K+ concurrent connections, handle reconnection logic, and implement efficient subscription management.
• DevOps & Reliability: AWS EKS (Kubernetes) orchestration, CI/CD pipelines (GitHub Actions), auto-scaling policies, and incident response.

What We're Looking For

• 5-8 years in backend engineering with expertise in GoLang, C++, Rust or Java.
• Distributed systems experience: microservices, event-driven architecture, message queues, eventual consistency.
• Database design: PostgreSQL (primary), Redis (caching + pub/sub), and time-series workloads.
• Kubernetes + Docker in production. You've managed EKS/GKE clusters, written Helm charts, and configured auto-scaling policies.
• API design philosophy. You care about consistent response formats, proper HTTP semantics, pagination patterns, and error handling.

Bonus Points

• Experience with broker/trading platform APIs - order lifecycle, market data WebSockets, position management.
• WebSocket expertise at scale (10K+ concurrent connections, efficient pub/sub routing).
• You've built fintech systems handling real money - payments, wallets, or trading platforms.