Partnering with mission-driven entrepreneurs to build Rocky Mountain technology companies of impact, utility, and value.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Machine Learning/Python Lead Software Engineer at JPMorgan Chase within the Consumer Community Banking, Operations Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Job responsibilities

• Learn about and understand our supported businesses in order to drive practical and successful solution
• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Proficient in coding in one or more languages
• Advanced experience in Python and distributed computing frameworks such as PySpark
• Experience in setting up Machine Learning platform infrastructure and deploying to the cloud to develop and train machine learning models
• Hands-on experience and solid understanding of machine learning methods and MLOps, deploying and scaling ML and AI Models on Public cloud services
• Hands-on experience with AWS cloud-based application development and infrastructure - EC2, EKS
• Experience in designing and building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR, S3 to facilitate ML training
• Analyzing and evaluating the ongoing performance of developed models
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on practical experience in system design, application development, testing, and operational stability
• Overall knowledge of the Model Development Life Cycle

Preferred qualifications, capabilities, and skills

• Practical cloud native experience
• In-depth knowledge of the financial services industry and their IT systems