As a Business Banking Android Developer, you will deliver secure, scalable, and intuitive mobile experiences that help businesses manage their finances and grow with confidence. Job responsibilities • 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. • Design, build, and maintain Android features using Kotlin/Java, delivering high-quality user experiences across devices and OS versions. • Lead implementation for moderately complex initiatives (UI flows, data/state management, offline/error handling) and contribute to technical design decisions. • Integrate with backend services (REST/GraphQL), implement secure authentication flows, and ensure safe handling of local storage and network communications. • Build and maintain automated tests (unit, instrumentation, UI) and improve app stability (crash reduction, ANR/performance tuning). • 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 • Practical experience with AI-assisted development tools (e.g., GitHub Copilot, code generation tools) and understanding of how to integrate AI capabilities into development workflows. • 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. • Formal training or certification on software engineering concepts and 3+ years applied experience.  • Strong hands-on Android development experience with Kotlin, Android SDK, and modern architecture patterns (e.g., MVI/MVVM/Clean Architecture). • Experience building UI using Jetpack Compose and/or XML, including accessibility and responsive layout practices. • Experience with mobile testing practices and frameworks (unit + instrumentation/UI tests) and troubleshooting complex issues. • Experience implementing/improving CI/CD for mobile (automated builds, quality gates, release processes).   Preferred qualifications, capabilities, and skills  • Experience with modularization, shared libraries, and scaling Android codebases across teams. • Experience with performance profiling and stability tooling (startup time, memory, crash analytics, ANR monitoring). • Familiarity with mobile security best practices (OWASP MASVS awareness, secure networking, secrets handling, certificate pinning where applicable). • Experience with release strategies (feature flags, phased rollouts) and operational readiness (runbooks, monitoring). • Experience mentoring engineers and improving delivery metrics (cycle time, defect escape, app stability).