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

As a Software Engineer III at JPMorgan Chase within the Artificial Intelligence Machine Learning and Data Platforms 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.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on experience in UI development with expertise in React, TypeScript, CSS, Micro FrontEnd Development, and JavaScript. Advanced skills in Python for building large, scalable applications and creating microservices. Experience in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages. Comprehensive understanding of the Software Development Life Cycle. Familiarity with agile methodologies, including CI/CD, application resiliency, and security. Emerging knowledge in technical disciplines such as cloud computing, artificial intelligence, and machine learning.

Preferred qualifications, capabilities, and skills

Familiar with UX design Python performance analysis and tuning  profiling tools, runtime configurations.