JPMorgan Lead Software Engineer - Python Data Platform Trading 

United States, New Jersey, Jersey City 

531787384

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Champion the integration and adoption of Python technologies within our hybrid Python/KDB platform.
• Collaborate closely with Quant Research and Trading Desks in a dynamic, data-driven environment.
• Design and implement innovative software solutions, employing creative problem-solving skills to address complex technical challenges.
• Develop secure, high-quality production code, and conduct code reviews and debugging for peers.
• Identify and automate solutions for recurring issues to enhance the operational stability of software applications and systems.
• Lead communities of practice within Software Engineering to promote the use of emerging technologies.
• Foster a team culture that values diversity, equity, inclusion, and respect.
• Guide team members through effective management of the book of work, improving team performance through SDLC, testing, and continuous enhancement of coding standards.
• Develop scalable real-time processing solutions using agile methodologies.
• Work with application support teams to maintain and support the platform.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering* concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) Extensive experience with Python and its data ecosystem (numpy, pandas, iceberg, spark, jupyter).
• In-depth knowledge of Python internals and the ability to develop performance-optimized Python solutions.
• Formal training or certification in software engineering concepts with advanced applied experience.
• Hands-on experience in system design, application development, testing, and ensuring operational stability. Proficiency in automation and continuous delivery practices.
• Expertise in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.
• Experience in leading development efforts: requirements gathering, task decomposition, time and effort estimation, delivery planning, testing, and user acceptance testing.
• In depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Knowledge of common data science libraries in Python : scikit-learn, pytorch, tensorflow.
• Familiarity with public cloud compute & storage services like Amazon EC2, EKS, S3, Fsx Lustre.
• Experience using KDB+ and/or associated q language would be advantageous.
• Experience working in a platform or developer experience team – enabling developers / data scientists and building easy to use APIs.
• Background in Financial Services, Securities Trading.