Software Engineer III - Java, AWS, AI

JP Morgan Chase; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

JP Morgan Chase is seeking a Java Software Engineer III to join the Commercial Real Estate Technology Group in Charlotte. You will work within an agile team to design, develop, and deliver secure, scalable software components across the enterprise.

Responsibilities include producing production-grade code, leveraging AI-assisted tools within a controlled environment, and ensuring code quality through peer reviews and automated tests.

Qualifications

• Formal training or certification in software engineering with 3+ years of hands-on experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Strong experience with Java, Python and ReactJS.
• Strong experience with Spring Boot, web development, REST services, and microservice development.
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate and refine AI outputs for correctness, performance and security.
• Understanding of responsible AI use in engineering workflows, data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to tackle non-routine problems.
• Creates secure and high-quality production code and maintains algorithms that run with appropriate systems.
• Leverages AI coding assist tools to improve code quality, speed, and productivity while ensuring peer review, tests, and secure coding standards.
• Applies SDLC tools and AI-assisted development and automation capabilities to improve value.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met by code development.
• Gathers, analyzes, synthesizes data and develops visualizations and reporting for continuous software improvement.
• Proactively identifies hidden problems and patterns in data to drive code hygiene and system improvements.

Skills

Java

Python

ReactJS

Spring Boot

CI/CD

Tools

REST APIs

Microservices

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Java Software Engineer III at JPMorganChase within the Commercial Real Estate Technology Group, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job 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 (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• 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

Required qualifications, capabilities, and skills

• 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
• Strong experience with Java, Python and ReactJS
• Strong experience with Spring Boot, web development, REST service, and microservice development
• 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 within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Familiarity with containers and DevOps, CI/CD process
• Familiarity with modern front-end technologies