Software Engineer, AWS Java FullStack & Data Pipelines

JPMorganChase

Chicago (IL)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

JPMorganChase is seeking an experienced Software Engineer to advance your career in a dynamic, cloud-focused environment in Chicago. You will design, implement, and maintain Java-based full-stack solutions leveraging AWS and enterprise data platforms.

You will contribute to automated CI/CD, ML pipelines, and secure coding practices while collaborating with cross-functional teams to deliver high-impact financial solutions.

Qualifications

  • 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.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting with ability to think beyond routine approaches.
  • Creates secure and high-quality production code and maintains algorithms that run with critical systems.
  • Design and build AWS and private cloud full-stack JAVA solutions for CIB use cases.
  • Develop end-to-end CI/CD ML pipelines to deploy knowledge graphs and related processes.
  • Produce architecture and design artifacts for complex applications and ensure design constraints are met by code.

Skills

Java Full Stack
AWS
CI/CD
Secure coding
AI-assisted development

Education

Bachelor's in Computer Science or related field

Tools

React
Spring
Python
SQL

Job description

JPMorganChase is seeking an experienced Software Engineer to advance your career in a dynamic, cloud-focused environment in Chicago. You will design, implement, and maintain Java-based full-stack solutions leveraging AWS and enterprise data platforms.

You will contribute to automated CI/CD, ML pipelines, and secure coding practices while collaborating with cross-functional teams to deliver high-impact financial solutions.

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