Lead Software Engineer - Python

We have an exciting opportunity within an agile development team working on a best-in‑class cross‑asset portfolio solutions platform (Vida). You’ll be working alongside other talented engineers (globally) and have exposure to full lifecycle of portfolio management across businesses

As a Software Engineer (L4) 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, Quantitative Research and Visual Designers to bring their vision of the next set of critical business functions into reality.

• 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.
• 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.
• Collaborate with other backend developers to get involved with code reviews and building up our suite of microservices components to facilitate faster development.
• Collaboration with a number of teams including Trading, Sales, Quantitative Research, as well as other technology teams.

• 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.
• Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.
• 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.

• 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.