Lead Software Engineer — Mobile (iOS)
JPMorgan Chase & Co. Hyderabad, Telangana, India
Financial Services · 10,001+ employees
About the role
Design, build, and maintain high-quality iOS features while enforcing standards for security, performance, and accessibility. Drive CI/CD improvements and integrate with backend services to deliver end-to-end mobile solutions.
What they look for
Requirements
Requires 5+ years of applied software engineering experience with strong proficiency in Swift, iOS SDK, and modern architecture patterns. Candidates must demonstrate technical leadership and experience with AI-assisted development tools within an agile environment.
Full 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, 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
- Design, build, and maintain iOS features using Swift (and UIKit/SwiftUI), delivering high-quality user experiences across supported iPhone/iPad devices and iOS versions.
- Set and enforce standards for security, performance, accessibility, stability, and production readiness (telemetry/monitoring, incident prevention).
- Drive CI/CD for Android (build automation, unit/instrumentation/UI tests, static analysis, signing and release workflows) and improve developer productivity.
- Partner with Product, Design, Backend, and QA to deliver end-to-end solutions; manage technical dependencies and provide clear technical direction and estimates.
- Use JPMorganChase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate development/change work (refactoring, test generation, documentation) with rigorous human validation.
- 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.
- Integrate with backend services (REST/GraphQL), implement secure authentication flows, and ensure safe handling of local storage and network communications.
- Build and maintain automated tests (unit and UI tests) and improve app stability and performance (crash reduction, responsiveness, battery/memory considerations).
- Drive CI/CD improvements for iOS builds (build automation, lint/static checks, test automation, signing/provisioning, release workflows) and use JP Morgan Chase-approved AI-assisted tools (e.g., Claude AI where approved) to accelerate refactoring, test generation, and documentation with rigorous validation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong hands-on iOS development experience with Swift and iOS SDK, plus modern architecture patterns (e.g., MVVM/Clean Architecture).
- Experience building UI using UIKit and/or SwiftUI, including accessibility and responsive layout practices.
- Experience with networking, persistence (e.g., Keychain and local storage patterns), and secure coding practices for mobile.
- Demonstrated technical leadership (mentoring, driving standards, owning outcomes) and disciplined use of AI coding assistants (Claude AI or equivalent where approved) with verification.
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
- xperience with modularization (SPM/CocoaPods/Carthage as applicable), shared libraries, and scaling iOS codebases across teams.
- Experience with performance and stability tooling (Instruments, crash analytics, memory/leak debugging).
- Familiarity with mobile security best practices (OWASP MASVS awareness, secure networking, certificate pinning where applicable, secrets handling).
- Experience with release strategies (feature flags, phased rollouts) and operational readiness (runbooks, monitoring).
- Experience mentoring engineers and improving delivery metrics (cycle time, defect escape, app stability).
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