JPMorgan Risk Management - Middle Market Banking & 

United States, Ohio, Columbus 

469937161

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
• Sets up and manages POC's to evaluate the feasibility and impact of new technologies and methodologies, ensuring alignment with business goals and technical requirements
• Drives the adoption of best practices in software development and AI integration, ensuring high standards of quality, security, and efficiency are maintained across all projects
• 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 in software engineering concepts with 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) such as Java, Python
• Experience in Generative AI
• Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.)
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)
• Experience in building enterprise applications with high availability and performance using Java, Python, Spring, Kafka, Elastic Search, Distributed Cache.
• Understanding of machine learning principles, especially in natural language processing (NLP) and deep learning, to effectively work with LLMs.

• Experience working at code level.
• A keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning.