iOS Software Engineer III — Swift & AI-Driven Apps

JobCubby; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is hiring a Software Engineer III in New York, within the BUSINESS ACCESS & TOOLS team. You will join an agile squad to design, develop, and troubleshoot software components for enterprise-grade products, focusing on secure, scalable solutions and modern iOS technologies.

The role emphasizes hands-on development, testing, and leveraging AI-assisted tools to raise quality and efficiency, with a culture of continuous improvement and collaboration across teams.

Qualifications

• 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 async/await and Combine).
• Strong experience with iOS frameworks: UIKit, SwiftUI, Foundation, Core Data, Combine, and OO design patterns.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with the ability to think beyond routine approaches.
• Creates secure and high-quality production code and maintains algorithms for persistent systems.
• Implements comprehensive testing strategies including unit tests and UI tests to ensure code quality.
• Leverages AI coding assist tools to improve code quality, speed, and productivity, with peer review and secure coding standards.

Skills

Swift programming

Unit testing

CI/CD

iOS frameworks

AI-assisted development

Secure coding

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Xcode

XCTest/XCUITest

Job description

JPMorganChase is hiring a Software Engineer III in New York, within the BUSINESS ACCESS & TOOLS team. You will join an agile squad to design, develop, and troubleshoot software components for enterprise-grade products, focusing on secure, scalable solutions and modern iOS technologies.

The role emphasizes hands-on development, testing, and leveraging AI-assisted tools to raise quality and efficiency, with a culture of continuous improvement and collaboration across teams.