Software Engineer III (Java/AWS)

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