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Salary
≈ $18k – $42k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 3+ years exp

First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Tradl AI - Your intelligent financial analyst for real-time stock screening, research, and market analysis.

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.

Skills

Go, Golang, Java, Trading, backend, distributed systems, event-driven, message queues, microservices

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