Software Engineer III - MDM

JPMorgan Chase & Co. • Chicago, IL

1d • $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 carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives.

The role involves building full-stack Java solutions for Commercial and Investment Bank use cases in AWS and private cloud environments; designing and maintaining master data models; developing scalable data ingestion and distribution pipelines and APIs; and deploying knowledge graphs and related processes through end-to-end CI/CD and machine-learning pipelines. You will also build infrastructure-as-code processes for resilient, performant AWS environments and collaborate with the Commercial Bank Data Platform team to use and expand data assets.

You will produce architecture and design artifacts for complex applications and ensure software code meets design constraints. The role uses enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity. AI-generated outputs must be validated through peer review, automated testing, and secure coding standards, while responsible-use practices account for data sensitivity, security, and resiliency. The position also applies SDLC tools and automation capabilities to improve team effectiveness.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• 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 CodeDeploy.
• Experience developing APIs that use different back-end data stores, such as RDS, graph databases, and DynamoDB.
• Experience developing end-to-end, fully automated CI/CD pipelines using frameworks such as Jules, Spinnaker, or CodeDeploy.
• Hands-on experience using enterprise-authorized AI-assisted software development tools, with the 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, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

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

Responsibilities

• Execute software solution design, development, and technical troubleshooting, using approaches beyond routine or conventional solutions when needed.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Design and build AWS and private-cloud full-stack Java solutions for Commercial and Investment Bank use cases.
• Design and maintain master data models for multiple key domains.
• Design and build scalable data ingestion and distribution pipelines and develop APIs.
• Develop end-to-end CI/CD 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 the creation of additional assets.
• Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards; and contribute reusable patterns and learnings.
• Apply SDLC toolchain capabilities, including authorized AI-assisted development and automation, to improve the value realized through automation.
• Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.

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