Android Lead Software Engineer

JPMorgan Chase & Co.; Columbus (OH); Hybrid; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for the Consumer & Community Banking Chase Android Authentication Team. You will join an agile group delivering trusted, secure, and scalable technology products and provide critical technology solutions across multiple business functions.

You will contribute as a core technical leader, shaping design and code across Android platforms. The role emphasizes AI-assisted development, secure coding standards, and collaboration with junior

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Experience leading AI-assisted development tools and code reviews.
• Strong knowledge of secure, responsible AI use in engineering workflows.
• Proficient in all aspects of the Software Development Life Cycle.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and 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
• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using Java, MVVM, Dagger, RxJava, and Kotlin
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Learns and applies system processes, methodologies, and skills in order to code and develop secure and stable systems

Skills

Java

Kotlin

Android

MVVM

Dagger

RxJava

LiveData

State flows

AI-assisted development

Unit testing

CI/CD

Security

Education

Software engineering certification

Tools

Dagger

Hilt

Kotlin Coroutines

Restful API

Android Jetpack

JUnit

Mockito

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 & Community Banking Chase Android Authentication Team, 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 creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and 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
• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using Java, MVVM, Dagger, RxJava, and Kotlin
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Learns and applies system processes, methodologies, and skills in order to code and develop secure and stable systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Strong hands on coding experience working with (Android jetpack, Kotlin Coroutines, Restful API integration, RxJava, LiveData, and/or State flows)
• Experience in Unit testing libraries like Mockito, JUnit, Gherkin scripts for UI Test Automation
• Experience with data injection tools (Dagger, Hilt, Kotlin, etc.)
• Technical leadership experience with junior level Software Engineers

Preferred qualifications, capabilities, and skills

• Experience with Java and Android eco system and all mobile UI fundamentals from layout to animations
• Understanding of SOLID principles and architectural patterns such as MVP, MVI and MVVM