Software Engineer III- Python/ AI

Push the limits of what’s possible with us as an experienced member of our Software Engineering team. As an Experienced Software Engineer at JPMorganChase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.

Participates in, design and develop scalable and resilient systems using Python to contribute to continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Hands-on practical experience in system design, application development, testing and operational stability Proficient in coding in Python languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle, AWS cloud exposure, troubleshooting abilities, resiliency and automation focus. Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies