Software Engineer III - Java/Python Full Stack

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 Asset and Wealth Management, 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
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Programming skills in Python with experience in frontend scripting languages such as Node.JS & React
• Exposure to and understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of deployment processes, including experience with GIT and version control systems for efficient collaboration and code management 
• Familiarity with data structures and algorithms, enabling effective problem-solving and optimization 
• Understanding of the software development lifecycle, with a focus on incorporating analytics / AI components and adhering to best practices in version control and code quality
• 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

• Knowledge of financial products and services including trading, investment and risk management
• Experience in data pre-processing, feature engineering, and data analysis would be beneficial
• Experience in developing APIs and integrating AI models into software applications