Lead Software Engineer - Android

JPMorganChase · Bengaluru · 5+ yrs experience · Posted 2026-07-01

Tech stack: Java, Jenkins, Kotlin

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About the role

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.
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.
Qualifications:
- 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
- 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

Qualifications

- 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
- 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

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.

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