Software Engineer II Payments Platform

JPMorganChase•Tampa, FL

About The Position

As a Software Engineer II in JPMorganChase’s Payouts group, 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 supports a critical payments platform that processes $5 trillion every business day and serves as the front door to that activity. The position involves designing, developing, testing, troubleshooting, and maintaining software, producing architecture and design artifacts, and using data to identify opportunities to improve applications and systems. You will also use enterprise-authorized AI-assisted development tools, validating their outputs through peer review, automated testing, and secure coding practices, and help improve team effectiveness by sharing learnings and reusable patterns.

Requirements

  • Formal training or certification in software engineering concepts and at least 2 years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
  • Hands-on experience with enterprise-authorized AI-assisted software development tools, such as for coding, test creation, troubleshooting, or documentation, and 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.
  • Overall knowledge of the Software Development Life Cycle.
  • 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

  • Design, develop, and technically troubleshoot software solutions, applying approaches beyond routine or conventional methods to solve technical problems.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity for tasks such as code generation, refactoring, unit test creation, and documentation; validate outputs through peer review, automated testing, and secure coding standards.
  • Apply knowledge of the Software Development Life Cycle toolchain, including authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize or report on large, diverse data sets to support continuous improvement of software applications and systems.
  • Identify hidden problems and patterns in data and use those insights to improve coding hygiene and system architecture.
  • Contribute learnings and reusable patterns to improve broader team effectiveness.
  • Guide peers on safe and effective AI-assisted engineering practices.
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