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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation.
• Produces architecture and design artifacts for complex applications while ensuring design constraints are met.
• Gathers, analyzes, and develops visualizations and reporting from large, diverse data sets.
• Proactively identifies hidden problems and patterns in data 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.
• Hands-on experience using enterprise-authorized AI-assisted software development tools.
• Understanding of responsible AI use in engineering workflows, including data sensitivity and security.
• Proficient in Python.
• Overall knowledge of the Software Development Life Cycle and ADLC.
• 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 libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Exposure to cloud technologies - AWS.

Skills

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