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

• 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.

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