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Apple System Engineer Jobs Near Me

J.P. Morgan

Lead Software Engineer

Columbus, OH

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking - Mobile, you ... Apple's best practices and design guidelines * Hands-on practical experience delivering system ...

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As of Aug 20, 2026, the average yearly pay for apple system engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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Apple System Engineer jobs near you
A map of the United States highlighting the number of Apple System Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Apple System Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Lead Software Engineer - Swift/iOS/SDK

JPMorgan Chase & Co.

Columbus, OH • On-site

$140 - $190/hr

Other

Posted 19 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking - Mobile, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • 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
Required qualifications, capabilities, and skills
  • 5+ years hands-on experience with Apple technologies, including Swift, iOS SDK, and advanced Apple platform integration
  • Demonstrated proficiency in designing and developing reusable iOS framework components, strictly adhering to Apple’s best practices and design guidelines
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Experience architecting, designing, and developing complex iOS application frameworks using Swift, Swift 6.x, SwiftUI, XCTest, Tests, Xcode, and Xcode Instruments
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Preferred qualifications, capabilities, and skills

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

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