Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting 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
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
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
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
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, analyses, 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
Writes secure and high-quality code using Kotin, Java, Unit testing tools
Use of Android frameworks and APIs such as Android SDK, Rx Java, Jetpack libraries (LiveData, ViewModel, Room, Navigation), XML layouts, Jetpack Compose. Experience using Android Studio tools including Layout Inspector, Profiler, Logcat, and Memory Analyzer for debugging and profiling.
Strong experience with Data Structures, Type Conversions, Multi-Threading. Experience with one or more Design Patterns – MVC, MVVM, MVI, MVP, Singleton. Enthusiasm for automated testing and experience with unit testing frameworks such as JUnit and Espresso. Understanding of build systems such as Gradle and Jenkins.

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 5+ years of applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages (Java, Kotlin). Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Experience working with Restful API integration
Experience working with Keychain, Wallet, Apple security standards
Experience in Unit testing libraries like Xcode unit tests, Gherkin scripts for UI Test Automation.
Strong understanding of java and android ecosystem
All mobile UI fundamentals, from layout to animations. Experience working with large codebases, managing shared resources and libraries
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, And Skills

Familiarity with Agile development including daily scrum and weekly iteration reviews and planning
Understanding of SOLID principles and architectural patterns such as MVP, MVI and MVVM
Hands on experience and is comfortable working at code level and participating all SDLC processes
Created one or more mobile applications with over 100K downloads
Experience in Android mobile application development with at least one application in the Google Play app store

ABOUT US

Lead Software Engineer - Android