Software Engineer III Payments Platform

JPMorganChase•Tampa, FL

About The Position

As a Software Engineer III at JPMorganChase within the Payouts payments processing platforms group, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. 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 moves $5 trillion every business day and serves as the front door to that activity.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 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 using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to critically evaluate, validate, and refine 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 in team practices.
  • 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, thinking beyond routine approaches to build solutions and break down 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 on complex work; validate outputs through peer review, automated testing, and secure coding standards, and share reusable patterns and learnings.
  • Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-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 code meets design constraints.
  • Gather, analyze, synthesize, and visualize large, diverse data sets to support continuous improvement of software applications and systems.
  • Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
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