Android Developer
5 days ago
Job Description We are looking for a highly experienced Senior Android Developer with strong hands‐on expertise in building modern, scalable, and user‐centric Android applications. The ideal candidate must have deep Android development skills, strong fundamentals in AI/ML, and experience working with cloud platforms to support AI‐driven use cases and next‐generation mobile solutions. You will be responsible for end‐to‐end Android app development — from architecture and design to deployment and performance optimization — while collaborating with cross‐functional teams to deliver secure, high‐quality, and innovative mobile experiences. Key Responsibilities Lead end‐to‐end development of Android applications using Kotlin , Jetpack Compose , and modern Android architecture. Work closely with UX, backend, cloud, and AI/data teams to build scalable and intuitive mobile solutions. Support and integrate AI‐driven features , including workflow automation, cloud AI services, or on‐device intelligence. Integrate REST/GraphQL APIs, WebSockets, and third‐party SDKs with strong offline handling and caching. Ensure performance, reliability, and responsiveness across diverse Android devices, including foldables. Implement secure coding practices (OAuth2, MFA, AES/RSA, certificate pinning, TLS/SSL, OWASP). Contribute to DevOps pipelines and CI/CD using GitHub Actions, Jenkins, Fastlane, and automated testing tools. Perform code reviews, mentor developers, and adhere to clean architecture principles. Continuously optimize performance (memory, network, battery, UI rendering). Explore and adopt emerging technologies such as Kotlin Multiplatform, AI cloud services, and new Compose capabilities. Basic Qualifications 7+ years of software engineering experience. 5–6 years of Android development using Kotlin and Java. Strong experience delivering production‐level apps (Play Store or enterprise). Proficiency with Android SDK, Jetpack components, Material Design, and architectural best practices. Solid CS fundamentals: data structures, algorithms, design patterns. Experience with Git, CI/CD, Agile tools (Jira, Confluence). Good understanding of AI/ML fundamentals. 3+ years of hands‐on experience in AI/ML projects (GenAI/Agentic AI is a strong plus). Strong communication, debugging, analytical, and leadership/mentoring skills. Technical Skill Sets Languages & Tools: Kotlin, Java, Python, Android Studio, Gradle, Git. Frameworks: Jetpack Compose, ViewModel, Flow, LiveData, Room, DataStore, WorkManager, Hilt/Dagger. Architecture: MVVM, MVI, Clean Architecture, modular/multi‐module apps. Networking: Retrofit, Ok GraphQL, WebSockets. AI & Cloud: Good understanding of AI concepts and cloud AI integrationsExposure to Google Gemini API / AWS Bedrock / Vertex AIOptional: ML Kit, TFLite Firebase & Cloud Integration: Crashlytics, Analytics, FCM; AWS/GCP services (Lambda, S3, Cloud Run, API Gateway). Testing & DevOps: JUnit, Espresso, Mockito; Fastlane, GitHub Actions, Jenkins; SonarQube. Security: Android Keystore, AES/RSA, OAuth2, certificate pinning, TLS/SSL, OWASP Mobile Security standards. Good to Have: Kotlin Multiplatform, Flutter/React Native, IoT, AR/VR, feature flagging tools. #J-18808-Ljbffr
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