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)