Senior Backend Developer

Tradl Ai Technologies; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Tradl Ai Technologies is seeking a senior backend engineer to own the backend platform architecture across real-time data pipelines, AI/ML serving, and quantitative computation used by trading systems.

You will design the REST and WebSocket API layer, build a native order management core, decompose the monolith into microservices, and manage a real-time gateway handling 10K+ connections with Kubernetes + Docker in production and CI/CD pipelines on AWS.

Qualifications

• 3–6 years in backend engineering with expertise in GoLang, C++, Rust or Java.
• Distributed systems experience with microservices and event-driven architectures.
• Database design using PostgreSQL as primary DB, Redis for cache and pub/sub, and time-series workloads.
• Kubernetes + Docker in production; managed EKS/GKE clusters and Helm charts.
• API design principles focusing on stable HTTP semantics, pagination, and error handling.

Responsibilities

• Design and build the REST + WebSocket API layer serving web and mobile apps.
• Develop the native order management core with execution stack and risk controls.
• Decompose monolith into domain-bounded microservices: User Service, Query Engine, Market Data, Portfolio, Alerts.
• Develop real-time infrastructure with a WebSocket gateway handling 10K+ connections.
• Own DevOps and reliability with AWS EKS, CI/CD, autoscaling, and incident response.

Skills

GoLang

C++

Rust

Java

Tools

Kubernetes

Docker

PostgreSQL

Redis

Job description

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

• 3-6 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.