Senior Python Software Engineer (Trading)

We're partnering with a leading proprietary trading firm that's looking to add a Senior Python Engineer to a team responsible for building the technology that powers quantitative research and live trading. This role sits at the intersection of software engineering, quantitative research, and trading. You'll work directly with traders, quantitative researchers, and engineers to build scalable production systems, improve research workflows, and develop the infrastructure that drives trading performance. This is a highly visible engineering role where your work will have a direct impact on the firm's ability to research, deploy, and operate trading strategies. Responsibilities Design, develop, and maintain scalable Python applications supporting quantitative research and live trading Build frameworks, APIs, and internal tools used by traders and quantitative researchers Develop high-performance data pipelines and distributed systems for market data and analytics Improve the reliability, scalability, and performance of production trading infrastructure Partner with quantitative researchers to transition research into production-quality software Drive technical design discussions, perform code reviews, and mentor other engineers Evaluate new technologies and continuously improve the firm's engineering platform Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field 5+ years of professional Python software engineering experience Experience building large-scale, production Python systems Strong understanding of distributed systems, APIs, data structures, and software architecture Experience working in Linux environments and modern development workflows Familiarity with CI/CD, automated testing, and software engineering best practices Strong communication skills and the ability to collaborate across technical teams Preferred Qualifications Experience within a proprietary trading firm, hedge fund, market maker, or electronic trading environment Experience building software that supports quantitative researchers or trading teams Familiarity with the scientific Python ecosystem (NumPy, Pandas, Polars, PyArrow, etc.) Experience with C++, Rust, or another systems programming language is a plus Why Join? Build technology that directly impacts live trading and P&L Work alongside world-class traders, quantitative researchers, and engineers Solve challenging problems involving distributed systems, large-scale data, and performance optimization High-ownership environment with significant autonomy and influence Competitive compensation, discretionary bonus, and outstanding benefits