Senior Backend Engineer

Tradl AI; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Tradl AI is seeking an experienced backend engineer in Bengaluru to design scalable API platforms and real-time services. You will build REST and WebSocket APIs, decompose a monolith into domain microservices, and own deployment on Kubernetes with AWS EKS.

You'll work with GoLang, C++, Rust or Java, implement robust data models in PostgreSQL and Redis, and ensure reliable, well-documented interfaces with strong API design principles.

Qualifications

• 3-5 years backend engineering with GoLang, C++, Rust or Java.
• Distributed systems experience: microservices, event-driven architecture, message queues, eventual consistency.
• Database design with PostgreSQL as primary, Redis for caching/pub-sub, time-series workloads.
• Kubernetes + Docker in production; experience with EKS/GKE and Helm charts.
• API design philosophy ensuring consistent response formats, proper HTTP semantics, pagination and error handling.

Responsibilities

• API Platform: design and build REST + WebSocket API layer for web, mobile, and third-party integrations.
• Broking Platform Core: native order management system with full execution stack and risk controls.
• Decompose 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 with 10K+ concurrent connections and efficient pub/sub.
• DevOps and Reliability: AWS EKS orchestration, CI/CD pipelines, auto-scaling policies, and incident response.

Skills

GoLang

C++

Rust

Java

Distributed systems

PostgreSQL

Redis

Kubernetes

Docker

API design

Tools

Kubernetes

Docker

Helm charts

GitHub Actions

CI/CD

Job description

Responsibilities:

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

Requirements:

• 3-5 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, and 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.