Lead Software Engineer -Java/Python Full Stack Engineer

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 Asset and Wealth Management, 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 5+ 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