Software Engineer III - MDM

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 120,000 - 170,000

Full time

2 days ago
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Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III in Chicago to join a seasoned agile team. You will design, build, and deliver trusted market-leading technology in a secure, scalable way across multiple business functions.

You will implement full-stack Java solutions, leverage AWS, APIs, and data platforms, and contribute to automated CI/CD pipelines and AI-assisted development practices while maintaining strong security and resiliency standards.

Qualifications

  • Formal training or certification in software engineering concepts.
  • Hands-on design, development, testing, and operational stability experience.
  • Experience in Java Full Stack and advanced SQL development.
  • Expertise with Java, Python, JavaScript, React, Spring and related frameworks.
  • Experience with AWS environments including EC2, ASG, Lambda, EKS, RDS and CodeDeploy.
  • Experience building APIs with diverse data stores (RDS, Graph, Dynamo, etc.).
  • Experience with end-to-end CI/CD pipelines (e.g., Spinnaker, CodeDeploy).
  • Ability to evaluate AI-assisted development outputs for correctness, performance and security.
  • Understanding responsible AI use, data sensitivity, security and resiliency.
  • Knowledge of Software Development Life Cycle and Agile methodologies.

Responsibilities

  • Executes software solutions with design, development and troubleshooting.
  • Creates secure, high-quality production code and maintains algorithms.
  • Design and build AWS and private cloud full-stack JAVA solutions for CIB use cases.
  • Design and maintain master data model for multiple domains.
  • Build scalable data ingestion pipelines and APIs.
  • Develop end-to-end CI/CD ML pipelines for knowledge graphs.
  • Build infrastructure as code for a resilient AWS environment.
  • Collaborate to leverage data assets and create new data assets.
  • Leverage enterprise AI coding tools and ensure code quality via peer reviews.
  • Apply SDLC toolchain knowledge to improve automation and value.

Skills

Java Full Stack
SQL Development
Java
Python
JavaScript
React
Spring
AWS Cloud
APIs
CI/CD
AI-assisted tooling

Education

Bachelor's degree in Computer Science or related

Tools

EC2
ASG
Lambda
EKS
RDS
CodeDeploy
Spinnaker
Jules

Job description

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.
  • 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
  • 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
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