Mid-Senior Python Developer

Key Responsibilities:
Design, develop, and maintain high-quality, scalable, and secure Python-based applications and microservices, with a strong focus on backend development.Build and enhance web applications using modern Python frameworks such as Flask, Django, or FastAPI, ensuring optimal performance and user experience.Collaborate closely with quantitative analysts, portfolio managers, traders, and other business stakeholders to understand requirements, translate them into technical specifications, and deliver impactful solutions.Integrate various internal and external financial data sources and APIs (e.g., market data, portfolio data, risk analytics providers).Develop robust data processing pipelines (ETL/ELT) for financial data, ensuring data integrity, accuracy, and efficient flow.Contribute to the entire software development lifecycle, from architectural design and coding to testing, deployment, and ongoing support.Implement best practices for code quality, security, performance optimization, and maintainability.Troubleshoot, debug, and resolve complex technical issues in a timely manner.Actively participate in code reviews, design discussions, and contribute to the continuous improvement of our development processes and technical stack.Mentor junior developers and share knowledge within the team.Demonstrate strong ownership and accountability for assigned projects, working effectively with minimal supervision.Required Skills & Experience:Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.Minimum of 5+ years of professional experience in software development, with at least a couple of years of hands-on experience in Python development.Proven experience in building Python web applications using frameworks such as Flask, Django, or FastAPI.Solid understanding of relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB) and proficiency in SQL.Experience with RESTful API design and development.Proficiency with version control systems, particularly Git.Strong understanding of software design principles, data structures, and algorithms.