Lead Software Engineer, Python, Equities Technology

We have an exciting opportunity to join an agile development team working on a top-tier Delta One platform that empowers the front office to create, manage, and report on equities-based baskets. You will collaborate with other skilled engineers worldwide and gain exposure to the entire portfolio management lifecycle.

As a Lead Software Engineer at JPMorgan Chase, you serve as a Lead Engineer on our agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will partner with Product Owners, Front Office and Quantitative Research to bring their vision of the next set of critical business functions into reality.

Job responsibilities

• Engineer a suite of performant, scalable and reusable RESTful micro-services and APIs using Python. Championing quality and owning the non-functional requirements. 
• Collaborate with the team to form the sprints that will get us to the MVP and then finally the target state.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Act as a Lead developer who will help set direction and best practice around automated testing, platform framework, SDLC as well as acting a point of contact for more junior developers to give them guidance on best practices through mentoring.
• You will also collaborate with other backend developers to get involved with code reviews and building up our suite of microservices components to facilitate faster development. 
• Close collaboration with a number of teams including Trading, Sales, Quantitative Research, as well as other technology teams.
   

Required qualifications, capabilities, and skills

• Commercial experience working with Python (5y+).
• Experience building and maintaining a microservices architecture.
• Knowledge of the Python web frameworks (e.g. Flask, Tornado, Bottle) and OO databases (e.g. mongo-db).
• Experience in developing, debugging and automated testing (e.g. PyUnit) within a commercial setting

• Solid understanding of CI/CD (e.g. Jenkins), Application Resiliency, and Security

• Experience collaborating with frontend technology teams in designing scalable and reusable RESTful APIs

Preferred qualifications, capabilities, and skills

• Exposure to python libraries such as pandas, scipy and numpy

• Exposure to python concurrency through python multiprocessing would be advantageous.

• Exposure to grid computing concepts would be advantageous.

• Working within Investment Bank / Finance Technology