We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr. Software Engineer at JPMorgan Chase within the Wealth Management Business (CCB) under Self Directed Investing , 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 breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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
- 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:
- Build and maintain native Android applications in Kotlin, delivering features end-to-end from design through production release.
- Implement AI/ML-powered mobile features, integrating models/services with a focus on performance, reliability, and user experience.
- Apply and evolve mobile architectures (MVVM/MVP/MVC) to ensure scalable, maintainable, and testable codebases.
- Drive engineering excellence with modern tooling, libraries, and testing (e.g., Git, Retrofit, Dagger, RxJava, Robolectric/Mockito/Espresso).
- 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.
- Enable rapid, reliable delivery by operating CI/CD pipelines and partnering effectively in Agile/Scrum ceremonies (planning, reviews, iterations).
- Optimize and validate mobile code on real devices: performance tuning, profiling/debugging, and handling phone-specific constraints and edge cases.
- Build and maintain mobile solutions across iOS/Android with proficiency in Swift, Kotlin, Objective-C, and Java, plus working familiarity with C++, JavaScript, Ruby, and Python.
- Use Git effectively for source control (branching, PRs/code reviews, conflict resolution) to maintain quality and release hygiene.
- Consume and integrate RESTful web services from mobile apps, and communicate clearly with business partners via phone/email to clarify requirements beyond written documentation.
Preferred qualifications, capabilities, and skills:
- Familiarity with how to optimize code for phones, testing with phones, challenges with phones
- Familiarity with several languages: Swift, Kotlin, Objective-C, Java, C++, JavaScript, Ruby, Python
- Experience with GIT source control management.
- Experience consuming RESTful web services from mobile platform
- Advanced communication skills with the ability to clarify application requirements via phone/email with business partners in addition to relying on technical requirements documentation