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Location
In office (New York)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 1,598 · green card filings: 933

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 9, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

You’ll deliver features end to end in an Agile environment, communicate progress to teammates and stakeholders, and help shape reliable, well-designed mobile products. You’ll also have opportunities to explore how AI can improve mobile experiences and engineering workflows.

As a Lead Software Engineer - Senior iOS Engineer at JPMorgan Chase within Consumer and Community Banking - Mobile Payments team, you’ll design, build, and maintain high-quality iOS applications that deliver meaningful experiences for customers and businesses. You’ll work with a collaborative team of technologists across the full software development lifecycle-from design and implementation to testing, release, and ongoing improvement.

Job responsibilities

  • Design, develop, test, and maintain iOS applications using Swift and SwiftUI.
  • Build accessible, responsive interfaces and implement clean, maintainable architectures such as MVVM, MVI, or MVP.
  • Integrate REST APIs and other remote services.
  • Use Xcode debugging and profiling tools to identify and resolve performance, memory, and reliability issues.
  • Write unit tests and use code coverage tools to maintain software quality.
  • Contribute to code reviews, technical discussions, and Agile planning.
  • Use AI-assisted development tools thoughtfully to support tasks such as code exploration, test generation, and documentation.
  • Keep the team and stakeholders informed about development progress, risks, and dependencies.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience designing, developing, and maintaining iOS applications using Swift and SwiftUI.
  • Experience integrating APIs and working with remote data.
  • Knowledge of iOS frameworks, including Foundation, UIKit, Cocoa Touch, and Core Data.
  • Experience with Xcode tools such as Instruments, the Debug Memory Graph, and the Debug View Hierarchy.
  • Familiarity with architectural and design patterns such as MVC, MVVM, MVP, MVI, and Singleton.
  • Working knowledge of Git and Bitbucket or comparable version-control platforms.
  • Experience building and shipping at least one application through the Apple App Store.
  • Familiarity with macOS, Linux, GNU tools, and scripting languages.
  • Understanding of CI/CD processes and tools such as Jenkins.
  • Experience with Swift unit-testing frameworks and code coverage tools.

Preferred qualifications, capabilities, and skills

  • Familiarity with prompt engineering, including writing clear instructions, providing context, and refining prompts to improve results.
  • Experience using AI-assisted coding tools to support development while reviewing and validating generated output.
  • Understanding of how to test AI-generated code, including checking for correctness, security, maintainability, and edge cases.
  • Experience integrating generative AI or machine-learning capabilities into mobile applications through APIs or on-device frameworks.
  • Familiarity with evaluating AI features for quality, latency, reliability, and user experience.
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