Software Engineer III

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a software engineer to design, develop, and troubleshoot complex software solutions in a corporate environment. The role emphasizes secure, production-grade code and maintaining algorithms that operate across enterprise systems.

Candidates should be adept at leveraging AI-assisted development tools, validating outputs, and applying SDLC best practices. Responsibilities include producing architecture artifacts, analyzing large data sets for system improvement, and

Qualifications

• 3+ years of software engineering experience in a corporate environment.
• Hands-on system design, development, testing, and operational stability.
• Experience with modern programming languages and database querying languages.
• Hands-on experience using enterprise AI-assisted development tools with validation of outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows and secure handling of inputs/outputs.

Responsibilities

• Executes software solutions, design, development, and troubleshooting to build solutions or break down problems.
• Creates secure, high-quality production code and maintains algorithms that run with appropriate systems.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review and secure coding standards.
• Applies knowledge of SDLC tools, including AI-assisted development and automation, to improve value realization.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met by code development.
• Gathers and analyzes data to develop visualizations and reporting for continuous improvement of software applications.
• Proactively identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture.

Skills

Software design

Code development

Operational stability

Agile methodologies

AI-assisted development

Education

Formal training in software engineering

Tools

AI-assisted development tools

CI/CD toolchain

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 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
• 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