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Salary
$117k – $267k per year (Estimated)
Location
In office (New York)
Seniority
Middle
Overview
Company
Impact
Profile match
JPMorgan Chase & Co. is a leading global financial services firm and the largest banking institution in the United States by assets. Headquartered in New York City, the company offers a comprehensive range of financial solutions, including investment banking, asset management, treasury services, and commercial banking. Through its widely recognized consumer division, Chase, it delivers retail banking, credit card, and mortgage services to tens of millions of households across the globe.

You’re ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer III at JPMorganChase within the BUSINESS ACCESS & TOOLS, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

  • Implements comprehensive testing strategies including unit tests (XCTest), UI tests (XCUITest), and automated test suites to ensure code quality and reliability.

  • 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.

  • Produces architecture and design artifacts for complex applications while being accountable for 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

  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience

  • Applied experience in native mobile application development.

  • Proficiency in Swift programming language (including modern concurrency patterns like async/await and Combine)

  • Strong experience with iOS frameworks: UIKit, SwiftUI, Foundation, Core Data, Combine, and experience with object-oriented programming and design patterns (MVC, MVVM, Coordinator, SOLID).

  • Demonstrated expertise in writing unit tests using XCTest and UI tests using XCUITest with strong commitment to test-driven development practices.

  • Experience with CI/CD processes and tools (e.g., Bitrise, Jenkins, GitHub Actions) and Git source control management.

  • Experience with modularization, dependency injection, and building reusable iOS SDKs or frameworks.

  • Practical experience with AI-assisted development tools (e.g., GitHub Copilot, code generation tools) and understanding of how to integrate AI capabilities into development workflows.

  • 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

  • Experience building or working with Design Systems (UI Development, white-labeling).

  • Appreciation for Accessibility and understanding of how to meet WCAG and Apple accessibility requirements.

  • Practical cloud native experience (AWS, Azure, or GCP).

  • Active GitHub/Stack Overflow profile or published app portfolio demonstrating technical expertise.

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