Unifynd - Python Backend Engineer - Trading Apps

Job Description

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 in developing exchange integrations, optimizing order management systems, and ensuring low-latency execution.

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.
• Implement a real-time monitoring, logging, and alerting system 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.
  
  

Requirements

• Strong proficiency in Python (4+ 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.
• Experience with real-time data processing and execution.
• Experience developing backtesting engines capable of processing millions of events per second.
• Understanding of rule-based trading engines supporting multiple indicators and event processing.
• Experience in data processing libraries: pandas, numpy, scipy, scikit-learn, and polars.
• Knowledge of parallel computing frameworks(Dask) for high-performance computation.
• Familiarity with automated testing frameworks for trading strategies and system components.
• Experience in data visualization tools for trading strategy analysis and performance metrics.
• Knowledge of quantitative trading strategies and algorithmic trading infrastructure.
• Contributions to open-source backend or data engineering projects.
  
  

(ref:hirist.tech)

We are seeking an experienced Python Backend Engineer to join our team in building high-performance, scalable backend systems for algorithmic trading.