Lead Software Engineer - Python, Data Platform, Trading

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 Securi...