Seeking an experienced Android Lead Developer with 5+ years of mobile application development experience. The ideal candidate has worked on large-scale Android applications, possesses strong Java and Kotlin skills, and can independently lead technical development efforts. Must-have skills

Android Development:

5+ years of hands-on experience.

Java and Kotlin:

Strong proficiency in both languages.

Jetpack Compose:

Experience with modern Android UI development using Compose.

Large-scale applications:

Proven experience building and supporting enterprise-level Android applications.

Technical leadership:

Ability to function as a lead while remaining hands-on.

Independent contributor:

Self-directed and capable of owning development deliverables.

Ideal candidate:

A senior Android engineer who is technically strong, comfortable with modern Android frameworks, and capable of leading development without requiring significant oversight. .

Roles and Responsibilities:

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Android Software Engineer III at JPMorganChase within the Consumer & 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.

Job responsibilities:

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

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.