Software Engineer III-Java, Springboot

Role Overview

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.

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 from large, diverse data sets to drive continuous improvement.
• Proactively identifies hidden problems and patterns in data to drive improvements in 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.
• Hands-on experience in Java, Spring Boot, and modern JavaScript frameworks.
• Experience with Kubernetes, Cloud Platforms, Microservices Architecture, MQ, and Kafka.
• Experience in design of distributed applications.
• Selenium knowledge and experience to automate/work on testing scripts.
• Good understanding of Database, hands-on Web Services, PL/SQL, and Oracle (DB DDL, DML, SP).
• 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.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Skills

• Java
• Spring Boot
• Kubernetes
• Kafka
• JavaScript