• Build elegant, performant, and reliable Android experiences using Kotlin and modern Android development practices
• Lead the full lifecycle of mobile features, from technical design and implementation through testing, release, measurement, and iteration
• Collaborate closely with Product Managers, Designers, Backend Engineers, Data Scientists, QA, and other partners to deliver user-focused solutions
• Improve app performance, stability, observability, accessibility, and developer productivity
• Contribute to Android architecture, shared platform components, design systems, and reusable libraries
• Help evolve our engineering practices around code quality, testing, maintainability, scalability, and release confidence
• Debug complex production issues and use data, logging, and experimentation to guide improvements
• Mentor engineers, provide thoughtful code reviews, and help foster a collaborative, inclusive, and high-performing team culture

Requirements

• 5+ years of professional experience building Android applications
• Strong proficiency with Android System Architecture, Kotlin and the Android SDK
• Experience with modern Android architecture patterns such as MVVM, MVI,
  
  
  
  or similar approaches
• Hands‑on experience with Jetpack libraries, Kotlin Coroutines, Flow, dependency injection, and asynchronous programming
• Experience building user‑facing features with a strong eye for product quality, performance, and maintainability
• Ability to lead complex technical projects, break down ambiguous problems, and drive execution across teams
• Strong debugging skills and experience improving app performance, stability, and reliability
• A collaborative mindset and robust communication skills across engineering, product, design, and cross‑functional partners
• Experience mentoring other engineers and influencing technical direction through design docs, architecture discussions, and code reviews
• Proven ability to thoughtfully leverage AI‑assisted development tools to accelerate software delivery, improve code quality, support debugging and testing, and enhance engineering workflows
• Sound technical judgment when using AI‑generated output, including the ability to review, validate, and refine suggestions for correctness, scalability, security, and maintainability
• Bachelor’s degree in Computer Science or equivalent practical experience.