Software Engineer III - Android Developer

JPMorgan Chase & Co.•New York, NY

3h•$133,000 - $185,000

About The Position

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

Formal training or certification on software engineering concepts and 3+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong)
Combined software/application development experience, with a focus on mobile development
Experience providing technical leadership and mentoring diverse engineering teams building native mobile applications
Strong Android development experience, including building mobile applications using Kotlin
Working knowledge of common architectural patterns, including MVVM, MVP, and MVC
Experience with modern native mobile development tools and frameworks, including Git, Xcode, CocoaPods, Swift Package Manager, CoreData, Android Studio, Robolectric, Mockito, Espresso, RxJava, Dagger, and Retrofit
Experience building and maintaining CI/CD pipelines
Experience working in Agile development environments, including daily scrums and iteration reviews/planning
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.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Nice To Haves

Familiarity with mobile performance optimization, device-based testing, and common mobile platform constraints
Working knowledge of multiple programming languages, such as Swift, Kotlin, Objective-C, Java, C++, JavaScript, Ruby, and Python
Experience with Git source control management
Experience consuming and integrating RESTful web services in mobile applications
Strong communication skills, with the ability to clarify application requirements with business partners via phone/email in addition to technical documentation

Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
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.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture