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JPMorgan Chase

Software Engineer III - MDM

Chicago, IL · 2 weeks ago

On-siteFull-time

About the job

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 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.

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Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

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 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

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Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies

• Exposure to cloud technologies

Reports on JPMorgan Chase