Role Overview
We are seeking a highly skilled Senior Backend Engineering Lead to work closely with our CTO in architecting and optimizing the backend infrastructure of our trading platform. This is a pivotal role where you will have immediate ownership of our financial data processing systems, broker integrations, and real-time market analysis infrastructure.
Responsibilities
- Collaborate directly with the CTO on architectural decisions and technical strategy for the trading platform.
- Take full ownership of backend architecture, making independent technology choices to optimize infrastructure.
- Architect scalable data pipelines for processing multi-asset market data with sub-second response times.
- Optimize systems to handle over 150 trading strategies with real-time backtesting and execution.
- Design systems for correlation analysis of complex multi-asset relationships.
- Integrate with major broker APIs like Alpaca, Interactive Brokers, and Tradier for live trading execution.
- Build normalized trading interfaces for stocks, crypto, forex, and options.
- Implement robust error handling and transaction integrity for trading operations.
- Transform monolithic components into a scalable microservices architecture.
- Design event-driven systems for real-time market sentiment analysis and AI model execution.
- Optimize multi-database architecture (DynamoDB, MongoDB, Redis) for financial workloads.
- Implement audit trails and compliance logging to meet fintech regulatory requirements.
- Develop monitoring and alerting systems aligned with financial-grade service level agreements.
- Ensure secure data handling and processing for sensitive financial information.
Required Skills
- 8+ years of backend engineering experience, with at least 3 years in fintech or financial services.
- Hands-on experience with financial market data integration, using APIs such as TwelveData, Polygon.io, FactSet, etc.
- Proficiency in real-time data processing, including WebSockets and streaming architectures.
- Practical experience with broker API integration and financial data normalization.
- Expertise in AWS services like Lambda, API Gateway, and DynamoDB optimization for financial workloads.
- Strong skills in backend languages such as Node.js/TypeScript and Python.
- Experience with multi-database architecture and financial data modeling.
- Proficient in real-time technologies like WebSockets, Server-Sent Events, and Redis.
- Skilled in designing RESTful and GraphQL APIs optimized for trading platforms.
Nice to Have
- Experience in trading platform or broker integration architecture.
- Knowledge of financial compliance, including FINRA and SEC requirements.
- Experience with high-frequency data processing and optimization.
- Familiarity with mobile API optimization for React Native trading applications.