Software Engineer III (Java/AWS)

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH is seeking a Software Engineer III to design and deliver trusted market-leading technology products in a secure, scalable way. You will work on critical technology solutions across multiple areas in support of the firm’s objectives.

As a seasoned member of an agile team, you will contribute to architecture, design, and implementation, with emphasis on secure coding, production-grade software, and AI-assisted tooling to improve quality and speed.

Qualifications

• / Formal training or certification on software engineering concepts and 3+ years applied experience/
• / Strong hands-on proficiency in Java, Springboot, SQL — designing, developing, testing, debugging, and maintaining production services in a large enterprise environment/
• / Hands-on practical experience in system design, application development, testing, and operational stability/
• / 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 with demonstrated ability to critically evaluate outputs/
• / Understanding of responsible AI use in engineering workflows; 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 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 to improve code quality, delivery speed, and productivity across complex deliverables
• Tackles complex technical problems and builds scalable, resilient solutions from service design through debugging and production stability
• Builds and improves automation and AI/MCP-based tooling that raises engineering leverage across the team
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve automation value
• Produces architecture and design artifacts for complex applications while ensuring design constraints are met
• Gathers, analyzes, visualizes, and reports from large data sets to improve software applications and systems
• Proactively identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture

Skills

Java

Spring Boot

SQL

CI/CD

Agile methodologies

Security

AWS

Education

Software engineering certification

Tools

Terraform

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the JPMorganChase within the Asset & Wealth Management – Performance & Attribution team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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.
• Tackles complex technical problems and thinks beyond conventional approaches to build scalable, resilient solutions — from service design through debugging and production stability.
• Builds and improves automation and AI/MCP-based tooling that raises engineering leverage across the team, and contributes reusable patterns back to the group.
• 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
• Strong hands-on proficiency in Java, Springboot, SQL — designing, developing, testing, debugging, and maintaining production services in a large enterprise environment.
• Hands-on practical experience in system design, application development, testing, and operational stability
• 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

• Experience building on AWS or any cloud platform.
• Experience with Terraform or other infrastructure-as-code for provisioning and managing cloud infrastructure.
• Interest or experience in AI/agentic tooling, MCP, or developer-automation platforms.
• Exposure to investment/portfolio analytics, performance measurement, or fixed income (GFICC) domains.
• Familiarity with modern front-end technologies