Backend Java Software Engineer III

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 195,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks an experienced software engineer to design, develop, and troubleshoot advanced software solutions. You will create secure production code, develop architecture artifacts, and analyze large data sets for continuous improvement.

The role emphasizes modern Java stack, CI/CD practices, cloud awareness, and responsible AI-assisted development within a large corporate environment.

Qualifications

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Hands-on experience in system design, development, testing, and operational stability.
• Demonstrable ability to code in Java Spring, Spring Boot, Microservices, REST API.
• Experience with SQL databases and enterprise data tooling.
• Knowledge of the Software Development Life Cycle (SDLC).
• -fluid understanding of Agile methodologies including CI/CD, resilience, and security.
• Experience with cloud technologies and AI-assisted development tools.

Responsibilities

• Executes software design, development, and troubleshooting with innovative problem solving.
• Creates secure, high-quality production code and maintains algorithms that run with appropriate systems.
• Produces architecture/design artifacts for complex apps ensuring design constraints are met.
• Gathers and analyzes data to create visualizations and reports for improvement.
• Identifies data patterns to drive improvements in coding hygiene and architecture.
• Contributes to engineering communities and events exploring new technologies.
• Fosters diversity and inclusive culture within the team.

Skills

Java Spring

Spring Boot

Microservices

REST API

SQL databases

CI/CD

Security

Agile methods

AI tooling in development

Cloud knowledge

Tools

MS SQL Server

Oracle

SQL

CI/CD tooling

Job description

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ 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.

Preferred qualifications, capabilities, and skills

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