Backend Java Software Engineer III

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a senior software engineer to design, develop, and troubleshoot complex applications using Java Spring, Spring Boot, and microservices. You will build secure production code, craft architecture artifacts, and ensure SDLC and security standards are met.

You will analyze large data sets, create visualizations, and push for continuous improvement of systems. Collaboration, diversity, and responsible AI use are valued in our engineering teams.

Qualifications

• 10+ years of software engineering experience.
• Experience in system design, development, testing, and operations stability.
• Proficient in Java Spring, Spring Boot, microservices, REST APIs.
• Knowledge of SDLC, CI/CD, security, and resiliency.

Responsibilities

• Execute software solutions from design through troubleshooting.
• Create secure, high-quality production code and maintain algorithms.
• Produce architecture and design artifacts for complex applications and ensure design constraints are met.
• Analyze large data sets to build visualizations and drive improvements.
• Identify hidden data patterns to improve coding hygiene and architecture.
• Contribute to engineering communities and promote inclusive team culture.

Skills

Java Spring

Spring Boot

Microservices

REST API

SQL Databases

SDLC

CI/CD

Cloud (AWS)

Security

AI-assisted tooling

Tools

MS SQL Server

Oracle

SQL

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.