Software Engineer III - (Java ,Python)

Role Overview

As a Software Engineer III at JPMorganChase within the Employee Platforms Team, 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.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities
• 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

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience
• 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
• Hands-on experience using enterprise-authorized AI-assisted software development tools
• Understanding of responsible AI use in engineering workflows, including data sensitivity and security expectations
• Proficient in Python
• Overall knowledge of the Software Development Life Cycle and applicability of it using ADLC (Agentic Driven Life Cycle)
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Nice to Have

• Hands-on Knowledge of data engineering practices to support AI model training and deployment, including experience with TensorFlow, PyTorch, Scikit-learn, and Keras
• Exposure to cloud technologies - AWS

Skills

• Python
• Java
• AWS
• CI/CD
• TensorFlow