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 - Java Full Stack Developer + React + AI at JPMorgan Chase within the Commercial & Investment Bank - Credit Public Finance 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

• Design, develop, test and support Public Finance DCM / Research / Trading applications using sound object oriented analysis and design principles.
• Re-engineer and AI based modernization to refactor and streamline end to workflows; optimize code and improve data quality for Data Analytics.
• 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.
• Design and implement a strategic platform spanning on prem and cloud-native AWS services, with a focus on scalability, resilience, and security.
• Maintain and enhance existing pipelines to improve reliability, performance, and supportability.
• Provide application support to business and client-support teams, including troubleshooting, incident resolution, and root-cause analysis.
• Stay current on industry trends and developments within the area of expertise.
• Represent the function in cross functional forums and collaborate with senior stakeholders.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience in software development with Bachelor’s, Master’s degree level in Computer Science, Math or engineering discipline or equivalent.
• 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.
• Strong, current hands on JAVA / J2EE and java framework like Spring, Spring Boot, Microservices and MVC. Experience building and supporting production systems.
• Experience building UI using react or any other equivalent UI framework.
• Solid understanding of relational SQL and NoSQL databases, data modeling, and data structures.
• Proven debugging and problem solving skills; comfort supporting mission critical data flows.
• Leverage AI-powered development tools (Copilot, Claude, Codex) to accelerate code generation, review, testing and delivery across the software lifecycle.

Preferred qualifications, capabilities, and skills

• Familiarity with how Large Language Models (LLMs) work at a high level, including concepts like using “agents” to break tasks into steps, basic planning and reasoning approaches, and related techniques.
• Experience designing hybrid architectures across on prem and AWS, background in data pipeline orchestration and optimization (batch or streaming), and configurable data delivery.
• Familiarity with software engineering best practices (version control, testing, CI/CD), observability (logging/monitoring), and performance tuning.
• Familiarity with Fixed Income and derivatives products and pricing processes (curve construction, instrument conventions, valuation metrics).