Software Engineer III – Java/Python/AI-ML

Overview

As a Software Engineer III at JPMorgan Chase within Global Finance Technology, you are a seasoned member of an agile team delivering trusted, scalable technology in a secure environment. You design and implement solutions across multiple domains to support the firm’s objectives, balancing speed with reliability. You’ll work with AI-assisted development tools, contribute to architecture, and drive continuous improvement through data insights. This role offers the chance to shape mission-critical systems in a large, security-conscious enterprise.

Responsibilities

• Design, develop, and troubleshoot software solutions beyond routine approaches
• Produce secure, high-quality production code and maintain key algorithms
• Leverage enterprise-authorized AI coding assist tools; participate in peer reviews, testing, and secure coding standards
• Utilize SDLC tools and AI-assisted development to enhance automation and delivery value
• Create architecture and design artifacts for complex applications and ensure constraint adherence
• Analyze large, diverse data, build visualizations and reporting to improve software and systems
• Identify hidden data patterns to drive improvements in coding hygiene and system architecture

Key requirements

• Formal training or certification in software engineering with 5+ years of applied experience
• Hands-on system design, application development, testing, and operational stability
• Experience coding in one or more modern programming languages and with database querying languages in a large corporate setting
• Experience using enterprise-authorized AI-assisted development tools and ability to validate AI outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows and mentoring peers on safe usage
• Knowledge of the Software Development Life Cycle
• Solid grounding in agile methods including CI/CD, application resiliency, and security

• Collaboration and teamwork
• Clear communication
• Problem-solving and analytical thinking
• Modern programming languages
• Database querying languages
• Enterprise SDLC toolchain and AI-assisted development tools

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