Software Engineer

We are looking for a strong Software Engineer to build and scale a high-performance algorithmic trading platform focused on real-time market data, strategy execution, order management, risk systems, and scalable trading infrastructure.

What You'll Work On

• Historical and real-time market-data processing
• High-throughput and scalable event-processing systems
• Order simulation, live execution, and order management
• Real-time user and portfolio risk monitoring, management, and analytics
• Broker and exchange integrations
• Backtesting and simulation infrastructure
• Reliable, performance-sensitive backend systems
• Manage and mentor the engineering team, ensuring effective execution and delivery

Requirements

• 3–6 years of professional software engineering experience
• Strong proficiency in Python with solid software architecture and system-design skills
• Experience building production backend, real-time, or data-intensive systems
• Understanding of asynchronous programming, event-driven architecture, or distributed systems
• Strong knowledge of APIs, databases, and messaging/streaming systems
• Comfortable working with Linux and debugging complex systems
• Strong problem-solving, ownership, and communication skills
• Rust or another systems programming language is a strong plus

Preferred Technologies

Python | Rust | Redis | Pub/Sub | Flink | WebSockets | Docker | Linux | Google Cloud | Event-Driven Systems | Distributed Systems

Trading Experience – Plus

Experience in any of the following will be advantageous:

• Algorithmic trading / FinTech
• Market-data platforms
• Broker or exchange integrations
• Backtesting and execution systems
• Risk management systems
• NautilusTrader, QuantConnect/LEAN, Backtrader, Zipline, or similar platforms

Work Location: In person