• Design, deploy, and maintain highly available, low-latency trading infrastructure across AWS, co-located servers, and Google Cloud platforms • Optimize system performance to achieve sub-millisecond latency requirements for critical trading applications • Build and maintain CI/CD pipelines using GitHub Actions for rapid, reliable deployments • Develop and maintain machine learning operations pipelines supporting our quantitative research and trading models • Manage DataBricks environments for large-scale data processing and model training workflows • Implement automated model deployment, monitoring, and rollback procedures • Ensure seamless integration between ML models and production trading systems • Implement comprehensive monitoring, alerting, and observability solutions for trading systems • Conduct performance analysis and capacity planning to ensure systems can handle peak market volatility • Lead incident response and post-mortem analysis for any system issues • Implement robust security measures for financial trading infrastructure