We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment bank and Electronic Trading Technology Data Analytics, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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