Develop and support secure, scalable Android applications using Kotlin, Java, Android SDK, and Jetpack. Design mobile features, integrate APIs, create architecture artifacts, build automated unit, integration, and UI tests, and support CI/CD pipelines. Collaborate with product, design, and backend teams while applying secure coding, resiliency, accessibility, and responsible AI-assisted development practices. Analyze application data to identify issues and improve code quality, system architecture, and operational stability.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an Software Engineer III at JPMorganChase with Consumer and community banking , you serve as a seasoned member of an agile team to design and deliver trusted market-leading mobile technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives, with a strong focus on Android engineering excellence, reliability, and secure-by-design delivery.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Designs and delivers Android application features using modern Android development practices (e.g., Kotlin, Android SDK, Jetpack libraries) while ensuring performance, stability, accessibility, and a consistent user experience
- 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.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Partners with product, design, and backend teams to define APIs, integrate services, and deliver end-to-end mobile capabilities; contributes to technical planning, estimation, and iterative delivery
- Builds and maintains automated test coverage (unit/integration/UI) and supports CI/CD pipelines for Android to ensure high confidence releases and operational stability
- Gathers, analyzes, 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
Required qualifications, capabilities, and skills
- Minimum 6+ years of hands-on experience in Android application development, including design, build, test, release, and production support
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (e.g., Kotlin/Java) and familiarity integrating mobile apps with services/APIs
- Creates secure and high-quality production code aligned to secure coding standards, resiliency expectations, and privacy/data handling requirements
- 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
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
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