JPMorgan Chase
Software Engineer III - MDM
131 S Dearborn St, Chicago, IL 60603
Full-time
First seen by offpeak October 21, 2026
See your drive time Apply on JPMorgan Chase's site
As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, 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
- Design and build AWS and private cloud full-stack JAVA solutions for CIB use cases
- Design and maintain master data model for multiple key domains
- Design and build scalable ingestion and data distribution pipelines, develop APIs
- Develop end-to-end CI/CD ML pipelines to deploy the knowledge graphs and associated processes
- Build infrastructure as code processes to have a fully resilient and performant environment on AWS
- Collaborate across the Commercial Bank Data Platform team to leverage existing data assets in the knowledge graph and to drive the creation of additional data assets
- 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
- 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 Java Full Stack and advanced SQL development
- Expertise with Java, Python, JavaScript, REACT, Spring, and related software engineering platforms/frameworks
- Experience with AWS environments including EC2, ASG, Lambda, EKS, RDS, Code Deploy, and others
- Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
- Experience working with end-to-end, fully automated CI/CD pipelines using frameworks like Jules, Spinnaker, Code Deploy, etc.
- 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
- Familiarity with modern front-end technologies
- Exposure to cloud technologies