Software Engineer III - Android Developer
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2026-08-22
Listing for:
JPMorganChase
Full Time
position Listed on 2026-08-22
Job specializations:
-
Software Development
Software Engineer, Full Stack Developer, DevOps, Software Testing
Job Description & How to Apply Below
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
Job DescriptionWe 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 JPMorgan
Chase 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.
- 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.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Formal training or certification in Software Engineering and 3+ years applied experience
- 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.
- 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, Cocoa Pods, Swift Package Manager, Core Data, 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
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Familiarity with mobile performance optimization, device-based…
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