Platform Architecture & AI Engineering Transformation (Android)
We're building a new generation of family-first tech. Our award-winning
JrTrack line of kids smart watches help thousands of families today stay
safely connected with a watch-to-parent-app ecosystem built from the ground
up. The family tech category is exploding today, and we're leading the way.
Role Overview
Experienced Senior Android Engineer with deep expertise in Android platform
architecture, AOSP customization, and large-scale mobile system design. Proven
ability to architect complex Android solutions across application, framework,
and system layers while driving engineering best practices. Strong background
in modern Android development, scalable architecture, and cross-functional
collaboration.
In addition to platform engineering, experienced in leading AI-driven
engineering transformation initiatives, helping organizations adopt modern AI
tools and workflows to improve development productivity, code quality, and
system design. Skilled at evaluating AI technologies, defining appropriate use
cases across engineering roles, and integrating AI-assisted development into
existing engineering processes.
Key Responsibilities
-
Lead Android platform and application architecture for complex mobile
systems.
-
Define scalable Android architecture using modern patterns and best
practices.
-
Guide engineering teams on system design, modularization, and maintainable
code structures.
-
Evaluate, select, and integrate AI tools to enhance engineering productivity
and workflows.
-
Define AI adoption strategy across engineering roles (development, testing,
documentation, and support).
-
Implement AI-assisted development processes including code generation,
review assistance, testing automation, and documentation.
-
Drive engineering transformation initiatives that improve efficiency and
reduce development cycles.
-
Mentor engineers on architecture, platform design, and modern development
practices.
-
Collaborate with leadership to align technology strategy with product and
engineering goals.
Required Skills
Technical Expertise
- Android architecture and platform design
-
AOSP customization and framework-level development
- Kotlin, Java, Android SDK
-
Modern Android architecture (MVVM, Clean Architecture, modular architecture)
- Android Jetpack components
-
System debugging and performance optimization
- CI/CD and scalable engineering workflows
AI Engineering Transformation
-
Evaluation and integration of AI development tools (LLMs, coding assistants,
AI automation tools)
-
Defining AI usage frameworks across engineering teams
- AI-assisted development workflows
-
AI-driven testing, code review, and documentation automation
-
Improving engineering productivity using AI-powered tools
Leadership & Strategy
- Engineering architecture leadership
- Technical roadmap planning
- Developer productivity optimization
- Cross-team collaboration and mentoring
-
Driving modernization and AI adoption within engineering organizations