Software Engineer III - Ios Developer

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

Software Engineer III - IOS Developer at JPMorgan Chase, focusing on designing and delivering technology products. The role involves executing software solutions, creating secure code, and leveraging enterprise-authorized AI coding assist tools to improve productivity and code quality. Responsibilities include producing architecture and design artifacts, gathering and analyzing data for continuous improvement, and identifying problems in data to drive system enhancements. Requires formal training/certification and 3+ years of experience in system design, application development, testing, and operational stability, with extensive mobile development experience in iOS and/or Android. Proficiency in specific iOS and Android development tools and frameworks is necessary, along with experience in testing, distributed systems, and CI/CD tooling. 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
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Extensive mobile application development experience in iOS and/or Android.
  • Proficiency with Android development, including Android Studio, Java/Kotlin, Jetpack Compose, LiveData/RxJava, core mobile UI fundamentals (layouts through animations), and RESTful API integration.
  • Proficiency with iOS development, including Xcode, Swift, SwiftUI/UIKit, Combine, and broader iOS frameworks.
  • Experience with unit and functional testing, using libraries such as Mockito and Espresso.
  • Experience with distributed systems, caching and persistence solutions, and build/CI tooling such as Gradle and Jenkins.
  • Experience building localized and multi-tenant solutions with a strong focus on automated testing.
  • Understanding of architectural patterns such as MVP and MVVM, and application design patterns (e.g., Gang of Four).
  • 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.

Nice to have

  • Working knowledge of Git/Bitbucket version control.
  • Strong communication skills with technical stakeholders and the broader organization.
  • Proficiency with Linux, macOS, GNU toolchains, and scripting languages.
  • Prior experience working on Agile teams.
  • Pair programming experience.
  • Exposure to cloud technologies.

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.