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, OkHttp, 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.
