Tech Lead Quantitative Trading

The Tech Lead Quantitative Trading position in Chennai, India requires a candidate with over 7 years of experience to undertake various key responsibilities. You will be responsible for designing and optimizing scalable backend systems using Python and C++, overseeing the deployment of real-time trading algorithms, managing cloud infrastructure, CI/CD pipelines, and API integrations, as well as leading and mentoring a high-performing engineering team. Additionally, you will play a crucial role in laying the foundation for AI-driven trading innovations. Your role demands strong leadership, software architecture expertise, and hands-on problem-solving skills to ensure the seamless execution and scalability of trading systems. As part of your responsibilities, you will lead the end-to-end development of the trading platform, ensuring scalability, security, and high availability. You will also architect and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing, design and implement deployment pipelines and CI/CD workflows for efficient code integration, and introduce best practices for performance tuning, system reliability, and security. In the realm of backend and data engineering, you will own the Python-based backend, work on low-latency system design to support algorithmic trading strategies, optimize storage solutions for handling large-scale financial data, and implement API-driven architectures leveraging WebSocket API and RESTful API knowledge to integrate with brokers, third-party data sources, and trading systems. Furthermore, you will be responsible for monitoring and troubleshooting live trading systems to minimize downtime, handling broker communication during execution issues and API failures, setting up automated monitoring, logging, and alerting for production stability, leading, mentoring, and scaling a distributed engineering team, defining tasks, setting deadlines, and managing workflow using Zoho Projects, aligning team objectives with OKRs, driving execution, fostering a strong engineering culture, ensuring high performance and technical excellence, managing cloud infrastructure to ensure high availability, setting up monitoring, logging, and automated alerting for production stability, overseeing GitLab repositories, enforcing best practices for version control, and implementing robust CI/CD pipelines to accelerate deployment cycles. While preferred qualifications include 7+ years of hands-on experience in backend development with expertise in Python, proven experience leading engineering teams and delivering complex projects, strong knowledge of distributed systems, real-time data processing, and cloud computing, experience with DevOps, CI/CD, and containerized environments, familiarity with GitLab, AWS, and Linux-based cloud infrastructure, and bonus knowledge of quantitative trading, financial markets, or algorithmic trading. The ideal candidate for this position is a backend expert with a passion for building scalable, high-performance systems, enjoys leading teams, mentoring engineers, fostering a strong engineering culture, can balance hands-on coding with high-level architecture and leadership, thrives in a fast-paced, data-driven environment, and loves solving complex technical challenges.,