As a Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

• Provides guidance to immediate team of software engineers on daily tasks and activities
• 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
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience     
• Experience leading technology projects
• Substantial 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
• Experience managing technologists
• Proficient in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience working at code level