Software Engineer III - Golang

JPMorganChase•Chicago, IL

About The Position

As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank, 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 implement critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role involves designing, developing, testing, troubleshooting, and maintaining production software; producing architecture and design artifacts for complex applications; and ensuring that software meets design constraints. You will use data insights to improve applications, coding practices, and system architecture. You will also use enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and productivity, while validating their outputs through peer review, automated testing, and secure coding practices. The role includes contributing reusable patterns and guiding peers in safe, effective use of AI within engineering workflows.

Requirements

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Hands-on experience developing with Golang.
  • 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, 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 Envoy Proxy or other web ingress proxies.
  • Experience operating applications on Kubernetes or AWS EKS.
  • Experience implementing OIDC, OAuth 2.0, and SAML handlers.

Responsibilities

  • Execute software design, development, and technical troubleshooting, using sound judgment to solve technical problems beyond routine approaches.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding-assistance tools for activities 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 of automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize information from 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.
  • Contribute learnings and reusable patterns to improve broader team effectiveness.
  • Guide peers in safe and effective AI use within team practices, including responsible handling of sensitive data and secure engineering workflows.
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