We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, 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

Develop and deploy machine learning models and generative AI capabilities. Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events exploring 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 proficient applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred Qualifications, Capabilities, and Skills

Familiarity with modern front-end technologies (e.g., React). Exposure to cloud technologies (e.g., Kubernetes & AWS).