Lead Software Engineer - IOS
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As a Lead Software Engineer at JPMorganChase within the Asset and Wealth Management, 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
As a Lead Software Engineer at JPMorganChase within the Asset and Wealth Management, 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
- Lead mobile delivery across multiple concurrent projects, from concept through production, across the full SDLC.
- Own iOS/iPadOS technical direction, including:
- Architecture (e.g., MVVM, Clean Architecture, modular Swift packages). Coding standards and best practices. Performance, reliability, and user experience
- Translate business requirements into technical designs in partnership with analysts, architects, and UX designers.
- Write and review secure, high-quality code; integrate with back-end services and microservices via REST/JSON. Build reusable UI components and modernize legacy code (e.g., Objective-C/UIKit to Swift/SwiftUI).
- Contribute to Android features and code reviews to keep behavior consistent across platforms. Mentor iOS and Android engineers; promote Agile practices such as Scrum and TDD/BDD.
- Drive adoption of enterprise-authorized AI-assisted engineering practices (e.g., code review/refactoring, test acceleration, root-cause analysis) with consistent validation standards (secure coding, peer review, automated testing).
- Own production health: resolve crashes, performance and authentication issues, automate remediation, keep platforms current, and lead safe App Store/Play Store releases. Evaluate emerging technologies, vendors, and startups for fit with existing systems.
- 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
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor’s degree in an engineering field.
- Advanced proficiency in Swift, Xcode, SwiftUI/UIKit, Combine, Swift Concurrency, Swift Package Manager, and Instruments; working knowledge of Objective-C.
- Working knowledge of Kotlin, Android SDK, Jetpack Compose, and Gradle. Proven track record building maintainable, high-quality mobile apps and leading mobile teams or workstreams.
- Experience leading the use of approved AI-assisted development tools, including validating AI outputs for correctness, performance, and security. Understanding of responsible AI use (data sensitivity, secure handling of inputs/outputs) and ability to coach engineers on safe, compliant adoption.
- Strong mobile security knowledge, including Keychain/Keystore, encryption in transit, certificate pinning, biometrics, and modern authentication. Experience with CI/CD (Git, Jenkins), automated regression testing (XCTest/XCUITest), observability, and App Store/Play Store publishing.
- Excellent analytical and communication skills; able to work across globally distributed teams. Knowledge of the financial services industry and 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.
- 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
Preferred qualifications, capabilities, and skills
- Experience with regulated, security-sensitive mobile products in banking.
- Deeper Android experience, including Coroutines/Flow, Jetpack, Hilt, and Retrofit.
- Experience with Passkeys/FIDO, app hardening, and runtime protection.
- Familiarity with modern release practices such as feature flags and phased rollouts.
- Experience with push notifications using APNs/FCM.
- Cloud and observability exposure (e.g., AWS).
- AWS certification is a plus.