Job DescriptionWe're looking for a Lead Android Engineer who will join a dedicated mobile pod delivering Android features for a major financial-services client in a regulated, security-first environment. Pods are small and senior-anchored - you'll own the Android architecture within your pod, set the code-quality bar, and ship production increments on a compressed timeline. We work in an AI-accelerated delivery model (AI-assisted codegen, test generation, and review) and expect engineers who can amplify their output with modern tooling.
Responsibilities- Design and build native Android features in Kotlin and Jetpack Compose
- Own architecture decisions within your pod - modularization, state management, navigation, dependency injection (Hilt/Dagger)
- Integrate against REST/GraphQL APIs in partnership with the pod's API engineer
- Build performant, secure features for real-time data and transactional workflows - streaming quotes/updates, low-latency UI, and secure handling of sensitive financial data
- Establish and enforce CI/CD, automated testing, and release standards for the pod
- Uphold security, privacy, and compliance requirements appropriate to a regulated broker-dealer
- Mentor a mid-level Android engineer and contribute to shared standards across pods
- Leverage AI-assisted tooling to accelerate delivery without compromising quality
Qualifications- 6+ years mobile development, 4+ years native Android in Kotlin
- Deep Jetpack Compose experience and sound grasp of modern Android architecture (MVVM/MVI, Clean Architecture)
- Strong coroutines/Flow concurrency skills
- Jetpack libraries (Navigation, Room, WorkManager, DataStore), DI with Hilt/Dagger
- API integration, offline/caching strategies, and secure data handling on device
- JUnit/Espresso testing and CI/CD (Gradle, GitHub Actions, Bitrise, or similar)
- Google Play release experience and signing/versioning fluency
- Self-directed; productive in a fast-ramp, standards-driven pod
Preferred:
- Financial services, fintech, or other regulated-industry experience
- Experience building real-time trading, brokerage, or streaming market-data apps
- Exposure to in-app AI features (conversational AI, AI-driven insights or personalization)
- Familiarity with security/compliance (SSO/OAuth, biometrics, Keystore, MDM)
- Multi-device experience: tablets and Wear OS
- Experience with AI-assisted development tooling
- Design-system / component-library contribution
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
