Software Engineer III - Android Developer

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Software Engineer III - Android Developer role at JPMorgan Chase, focusing on delivering market-leading technology products. The role involves executing software solutions, creating secure production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and productivity. Responsibilities include producing architecture and design artifacts, analyzing data for continuous improvement, and identifying problems in data to drive system enhancements. Requires formal training/certification, 3+ years of applied experience, strong Android development with Kotlin, knowledge of architectural patterns, experience with mobile development tools, CI/CD pipelines, and Agile environments. Hands-on experience with AI-assisted development tools and understanding of responsible AI use are also required.

What you'd actually do

  1. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  2. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  3. 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.
  4. 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.
  5. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Skills

Required

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 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, 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 have

  • 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

What the JD emphasized

  • 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.