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