Overview

Software Engineer II at JPMorganChase within the Employee Platform, part of an agile team that works to enhance, design, and deliver secure, stable, and scalable software components.

Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect

Qualifications

• Good hands-on .NET/Java & React/Angular tech stack with 3+ years of experience, should be willing to work on .NET primarily
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate and validate AI-generated output
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Nice to have

• Familiarity with modern front-end technologies
• Understanding/ exposure to JAVA tech stack is a plus