• Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• 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.

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Proficient in coding in
  Java, Spring Boot, React, Micro-services
• Familiar with development tools such as Jenkins, Git, Jira, etc.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Involved in supporting production issues 
• Experience with modern Agile delivery practices (Scrum/Kanban), CI/CD, and DevOps-aligned development (automated quality gates, release pipelines).
• 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.

Preferred qualifications, capabilities, and skills

• Familiarity with front-end technologies 
• Experience with Terraform 

• Exposure to cloud technologies preferably AWS

   

  To be eligible for this opportunity, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this position.  Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).