Software Engineer III - Java

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 JPMorgan Chase within the Asset & Wealth Management Technology, 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 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

Utilizes AI-powered tools across the SDLC, including for code generation, code review, testing, debugging, documentation, and deployment, to ensure efficient and high-quality software delivery

Contributes to software engineering communities of practice and events that explore new and emerging technologies

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.

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

Proficient in coding in one or more languages

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

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, artificial intelligence, machine learning, mobile, etc.).

Demonstrated experience using AI-based tools across the SDLC (such as GitHub Copilot, ChatGPT, or similar) for code development, testing, and automation is required

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.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies (preferred)

Exposure to cloud technologies (preferred)

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