Salary
≈ $148k – $258k per year (Estimated)
Location
In office (Plano)
Seniority
Staff · 5+ years exp
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.
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 Commercial & 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:
- Develop secure, high-quality production code; review and debug code written by others.
- Make decisions that impact product design, application functionality, and technical operations.
- Advise peers and project stakeholders on the adoption of new technologies.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Develop mobile applications for iOS using Swift, SwiftUI, and Objective-C.
- Develop mobile applications for Android using Java and Kotlin.
- Work on large-scale mobile apps, implementing complex front-end solutions and automated testing.
- Collaborate with UX designers to prototype and implement new features for improved user experiences.
- Optimize mobile applications for speed, reliability, and scalability; follow Agile practices such as Scrum and Continuous Delivery.
- Support Site Reliability Engineering (SRE) practices to ensure excellent user experience and system performance.
Required qualifications, capabilities, and skills:
- Formal training or certification in software engineering and 5+ years of applied experience.
- Experience in system design, application development, testing, and maintaining operational stability.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Proficiency in at least one programming language relevant to mobile development.
- Strong knowledge of mobile development frameworks, including iOS, Swift, Objective-C, UIKit, Cocoa, SwiftUI
- Familiarity with iOS design patterns (MVVM, MVC, MVP, VIPER, MVI, etc.).
- Experience integrating native features such as Camera, Push Notifications, GPS, CoreML, and VisionKit.
- Understanding of mobile application security, including device registration, biometrics, encryption, and data protection.
- Experience with API integration and use of development tools like Xcode.
- Proficiency with Git, source code management, and Agile software development methodologies.
Preferred qualifications, capabilities, and skills:
- Experience working with copilot or other related tools.
- Familiarity with build automation tools and frameworks for static and dynamic analysis.
- Ability to assess technology risks, perform threat modeling, and communicate risk to stakeholders.
- Experience building relationships with cross-functional teams, including technology, business, audit, and risk partners.
- Knowledge of OAuth, SSO, and NFC technologies.
- Experience building and releasing apps to the App Store or enterprise stores using CI/CD pipelines.
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