Mobile Platform Engineer - Android / Active Secret

Responsibilities Keystone AI is currently seeking to hire a Mobile Platform Engineer - Android for its' IRAD Development Team in the Cyber & Intelligence Sector (C&I) | Operations in the Information Environment (OIE). Location: Remote Work Travel: Summary: Keystone AI is seeking a Mobile Platform Engineer to design, develop, and maintain scalable Android-based automation infrastructure supporting multi-platform content distribution and digital engagement operations. This role is central to Keystone AI 's development of next-generation influence messaging capabilities that leverage hybrid cloud/physical mobile architectures integrated with Keystone AI 's agentic AI workflows (IRIS / Keystone AI [x]). You will build and optimize systems that manage large-scale mobile device orchestration, platform API integration, identity lifecycle management, and automated content delivery across major social media platforms. This position directly supports U.S. Combatant Command requirements for Operations in the Information Environment and positions Keystone AI as the market leader in scalable digital engagement technology. Roles and Responsibilities: Design and develop Android application components and automation frameworks that support scalable, multi-platform content distribution across social media ecosystems. Architect and maintain hybrid cloud/physical mobile infrastructure, including cloud-based Android emulation environments and physical device fleet management with SIM lifecycle orchestration. Develop and integrate anti-detection and platform compliance middleware to ensure operational persistence across platforms with varying device attestation requirements. Build and maintain multi-platform API gateway services supporting concurrent operations across X (Twitter), TikTok, Instagram, Telegram, Facebook, and emerging platforms with appropriate rate limiting and traffic management. Design synthetic identity lifecycle management systems including account creation workflows, behavioral pattern engines, authenticity scoring algorithms, and persona maintenance automation. Develop content scheduling and queue management systems with platform-specific formatting, timing optimization, and intelligent rate limiting to maximize engagement while maintaining operational security. Implement network infrastructure components including residential proxy integration, VPN management, DNS obfuscation, and IP rotation services supporting geographically distributed operations. Integrate mobile platform capabilities with Keystone AI 's IRIS platform and Keystone AI [x] agentic AI workflows to enable AI-driven orchestration of content distribution operations. Conduct research on evolving platform security measures, device attestation technologies, and emulator detection methods to maintain system effectiveness and inform architectural decisions. Produce technical documentation, system architecture diagrams, and operational guides; collaborate with cross-functional teams including AI/ML engineers, infrastructure specialists, and mission analysts. Key Technologies & Platforms: Android SDK, Kotlin, Java, Swift, Objective-C, Python, ADB, Xcode, iOS SDK, Genymotion, Android Virtual Device (AVD), XCTest, XCUITest, Docker, Kubernetes, AWS Device Farm, Google Cloud, REST APIs, OAuth 2.0, Appium, Selenium, Frida, Xposed Framework, WireGuard, Residential Proxy APIs, Redis, PostgreSQL, RabbitMQ, Terraform, Ansible, Git, Jenkins, IRIS Platform, Keystone AI [x], OMEGA Qualifications Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, Mobile Computing, or related technical discipline with 5+ years of professional experience; OR Master's degree with 3+ years of experience. Demonstrated proficiency in Android application development using Java and/or Kotlin with experience in the Android SDK, Android Studio, and ADB (Android Debug Bridge). Experience with Android emulation technologies (e.g., Genymotion, Android Virtual Device, cloud-based emulation platforms) and understanding of Android system internals. Proficiency in Python for automation scripting, API integration, and system orchestration. Experience with RESTful API design and integration, including OAuth flows, rate limiting implementation, and multi-service gateway architectures. Familiarity with network infrastructure concepts including proxy management, VPN configuration, DNS management, and traffic routing. Experience with cloud platforms (AWS, Azure, or GCP) for deploying and managing virtualized mobile environments at scale. Understanding of mobile device management (MDM) concepts, device provisioning, and fleet orchestration. U.S. citizenship is required. Active Secret clearance with eligibility to obtain a final TS/SCI security clearance. Valid U.S. passport or ability to obtain one. Preferred Qualifications: Experience with mobile device fingerprinting, browser fingerprinting technologies, and platform-specific device attestation mechanisms (SafetyNet, Play Integrity API, Meta device ve