Lead Software Engineer - Python Data Platform Trading
Lead Software Engineer - Python Data Platform Trading
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$ 152000 - 215000
1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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 marketleading 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 firms 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 datadriven environment.
- Design and implement innovative software solutions employing creative problemsolving skills to address complex technical challenges.
- Develop secure highquality 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 realtime 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.
- Handson 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).
- Indepth knowledge of Python internals and the ability to develop performanceoptimized Python solutions.
- Formal training or certification in software engineering concepts with advanced applied experience.
- Handson 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 : scikitlearn 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.
Employment Type
Full-Time
