Senior Android Engineer
Jobtailor
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 strong 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.
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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 strong 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.
#J-18808-Ljbffr
Reference: WJ-3875_12808884