Join our team as a Full Stack Software Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.

As a Full Stack Software Engineer at JPMorgan Chase within the Consumer & Community Banking, Operations team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading 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 firm’s 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 Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Adds to team culture of diversity, equity, inclusion, and respect Develop back end features and front end user interfaces which contribute to visualizing the voice of the customer and agent performance  Contribute to the integration of machine learning models to solve complex business problems and enhance ML-driven applications    Optimize machine learning models for performance and scalability leveraging cloud based resources Demonstrate the ability to continuously learn and stay updated with latest AI and machine learning advancements Troubleshoot and debug machine learning related issues  Initiate and contribute to AI strategy Be the technical liaison between business, product, data scientists and engineers

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s)      Solid experience with Python, SQL, CI/CD pipeline, Github, AWS or Azure or GCP required Demonstrated experience with web application development using core Javascript, NodeJS, npm, React.js, React, HTML, SCSS/SASS and CSS Understanding of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learning End-to-end working knowledge on how a machine learning product is built Familiarity with MLOPS and components in MLOPS ecosystem Good understanding of agile methodologies Excellent communication and presentation skills

Preferred qualifications, capabilities, and skills

In-depth knowledge of the financial services industry and their IT systems Practical AWS or Azure cloud native experiences Experience with deploying applications using Docker, Kubernetes Experience in data streaming tools such as Kafka Experience with Generative AI and LLM’s Demonstrated experience with modern front-end build pipelines and tool Experience in building Single Page Applications using one of the frond end framework(Angular/React/Vue)