Software Engineer III - MDM

JPMorgan Chase & Co. • Chicago, IL

2d • $114,000 - $155,000

About The Position

As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you will serve as a seasoned member of an agile team, designing and delivering trusted, secure, stable, and scalable technology products. You will develop critical technology solutions across multiple technical areas and business functions in support of firm objectives.

The role focuses on designing and building full-stack Java solutions for CIB use cases across AWS and private cloud; maintaining master data models for key domains; creating scalable data ingestion and distribution pipelines and APIs; and developing CI/CD and machine-learning pipelines for knowledge graphs. You will also build infrastructure-as-code processes for resilient, performant AWS environments and collaborate with the Commercial Bank Data Platform team to use existing data assets and drive creation of additional assets.

You will produce architecture and design artifacts for complex applications and ensure software meets design constraints. The role also involves using enterprise-authorized AI-assisted development tools responsibly to improve code quality, delivery speed, and productivity, while validating outputs through review, testing, and secure coding practices.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in Java full-stack development and advanced SQL development.
• Expertise with Java, Python, JavaScript, React, Spring, and related software engineering platforms and frameworks.
• Experience with AWS environments, including EC2, ASG, Lambda, EKS, RDS, and Code Deploy.
• Experience developing APIs that use different back-end data stores, such as RDS, graph databases, and DynamoDB.
• Experience with end-to-end, fully automated CI/CD pipelines using frameworks such as Jules, Spinnaker, or Code Deploy.
• Hands-on experience with enterprise-authorized AI-assisted software development tools and the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• Overall knowledge of the software development lifecycle.
• Solid understanding of agile methodologies and practices such as CI/CD, application resiliency, and security.

Nice To Haves

• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.

Responsibilities

• Execute software design, development, and technical troubleshooting, using sound judgment to solve technical problems beyond routine approaches.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Design and build full-stack Java solutions for CIB use cases on AWS and private cloud.
• Design and maintain master data models for multiple key domains.
• Design and build scalable ingestion and data distribution pipelines, and develop APIs.
• Develop end-to-end CI/CD and machine-learning pipelines to deploy knowledge graphs and associated processes.
• Build infrastructure-as-code processes for a resilient and performant AWS environment.
• Collaborate with the Commercial Bank Data Platform team to leverage existing data assets in the knowledge graph and drive creation of additional assets.
• Use enterprise-authorized AI coding assistance for tasks such as code generation, refactoring, unit tests, and documentation; validate outputs through peer review, automated testing, and secure coding standards.
• Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
• Produce architecture and design artifacts for complex applications and ensure design constraints are met in software development.
• Contribute learnings and reusable patterns to improve broader team effectiveness and guide peers in safe, effective AI-assisted engineering practices.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed