Backend Java Software Engineer III

JPMorganChase • Plano, TX

1d

About The Position

This role executes software solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. The engineer will create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. They will produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. The role involves gathering, analyzing, synthesizing, and developing visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. The engineer will proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture. They will contribute to software engineering communities of practice and events that explore new and emerging technologies, and add to the team culture of diversity, opportunity, inclusion, and respect. The role 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; contributing learnings and reusable patterns to improve broader team effectiveness. The engineer 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. This includes 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.

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.
• Demonstrable ability to code in Java Spring, Spring Boot, Microservices, Rest API.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages: MS SqlSever, Oracle, Sql.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud).
• 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.
• 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.

Nice To Haves

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies: AWS.
• Experience with Kafka implementations and MQ is preferred.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting.
• Creates secure and high-quality production code and maintains algorithms.
• Produces architecture and design artifacts for complex applications.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements.
• Contributes to software engineering communities of practice and events.
• 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 to improve automation value.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed