Jr. Python Backend Engineer

Northstar Quant; Mumbai; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

Northstar Quant is seeking an experienced Python Backend Engineer to build high-performance, scalable backend systems for algorithmic trading in Mumbai, India. You will design real-time trading backends, integrate multiple exchange APIs, and develop FastAPI services with a focus on low latency.

Strong knowledge of asynchronous programming and distributed architectures is valued. Join a team that collaborates with quants and business units to implement trading logic and ensure robust security and

Qualifications

• 2+ years of Python backend development experience.
• Strong API design and integration with REST, WebSockets and FIX protocol.
• Experience with asynchronous programming (asyncio) for high-concurrency applications.
• Solid knowledge of databases (SQL/NoSQL) and data storage.
• Experience with containerization and orchestration (Docker, Kubernetes, AWS).
• Experience with message queues (RabbitMQ, Kafka) for real-time data processing.
• Knowledge of monitoring tools (Prometheus, Grafana, ELK) for observability.
• Experience with scalable system design, microservices and distributed architectures.

Responsibilities

• Design and develop scalable backend systems for real-time trading applications.
• Build and optimize order management systems with smart order routing capabilities.
• Integrate multiple exchange APIs (REST, WebSockets, FIX protocol) for seamless connectivity.
• Develop high-performance execution engines with low-latency trade execution using Python and optionally Golang.
• Develop APIs using FastAPI for efficient and fast backend service delivery.
• Implement real-time monitoring, logging, and alerting systems to ensure reliability.
• Design fault-tolerant and distributed architectures for handling large-scale transactions.
• Work on message queues (RabbitMQ, Kafka) for efficient data processing.
• Ensure system security and compliance with financial industry standards.
• Collaborate with quant researchers and business teams to implement trading logic.

Skills

Python backend

REST APIs

WebSockets

FIX protocol

Asyncio

Databases

Docker

Kubernetes

AWS

RabbitMQ

Kafka

FastAPI

Prometheus

Grafana

Microservices

Distributed systems

Tools

Docker

Kubernetes

AWS

RabbitMQ

Kafka

FastAPI

Prometheus

Grafana

Job description

Job Summary

We are seeking an experienced Python Backend Engineer to join our team in building high-performance, scalable backend systems for algorithmic trading. The ideal candidate will have strong expertise or interest in developing exchange integrations, optimizing order management systems, and ensuring low-latency execution. Experience with FastAPI and Golang is a strong plus.

Key Responsibilities

• Design and develop scalable backend systems for real-time trading applications.
• Build and optimize order management systems with smart order routing capabilities.
• Integrate multiple exchange APIs (REST, WebSockets, FIX protocol) for seamless connectivity.
• Develop high-performance execution engines with low-latency trade execution using Python and optionally Golang.
• Develop APIs using FastAPI for efficient and fast backend service delivery.
• Implement real-time monitoring, logging, and alerting systems to ensure reliability.
• Design fault-tolerant and distributed architectures for handling large-scale transactions.
• Work on message queues (RabbitMQ, Kafka) for efficient data processing.
• Ensure system security and compliance with financial industry standards.
• Collaborate with quant researchers and business teams to implement trading logic.

Required Technical Skills

• Strong proficiency in Python (2+ years) with a focus on backend development.
• Expertise in API development and integration using REST, WebSockets, and FIX protocol.
• Experience with asynchronous programming (asyncio, aiohttp) for high-concurrency applications.
• Strong knowledge of database systems (MySQL,PostgreSQL, MongoDB, Redis, time-series databases).
• Proficiency in containerization and orchestration (Docker, Kubernetes, AWS).
• Experience with message queues (RabbitMQ, Kafka) for real-time data processing.
• Knowledge of monitoring tools (Prometheus, Grafana, ELK Stack) for system observability.
• Experience with scalable system design, microservices, and distributed architectures.

Good To Have Qualifications

• Experience with real-time data processing and execution.
• Experience developing backtesting engines capable of processing millions of events per second.
• Knowledge of quantitative trading strategies and algorithmic trading infrastructure.
• Contributions to open-source backend or data engineering projects.