At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Monetization Specialist Android Developer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities: Ad Architecture & Integration: Build and maintain scalable, robust native ad architectures in Android (Kotlin / Java) covering Interstitials, App Open Ads, Rewarded Videos, and Native/Banner formats. Mediation Mastery: Manage, configure, and optimize enterprise mediation stacks, with an emphasis on AppLovin MAX and Google AdMob. Smart Loading & Show Rates: Architect intelligent caching, pre-fetching, and asynchronous loading flows to eliminate latency, prevent ad drops, and achieve industry-leading Show Rates. eCPM Optimization & Bidding Logic: Implement code-level triggers, contextual engagement signals, and dynamic refresh logic to drive aggressive competition among programmatic bidders. SDKs & Custom Adapters: Integrate, test, and maintain third-party ad network SDKs, custom mediation adapters, and bidding partners. Diagnostics & Revenue Stability: Continuously monitor core monetization metrics (eCPM, ARPDAU, Latency, Impression Depth) and rapidly troubleshoot fill-rate drops or mediation errors. Policy & Privacy Compliance: Ensure full adherence to Google Play developer policies, AdMob/AppLovin quality guidelines, CMP/Consent frameworks, and invalid traffic (IVT) prevention rules. Job requirements 5+ years of professional Native Android development experience (Kotlin / Java) utility apps. 5+ years of dedicated technical experience with mobile ad networks and mediation platforms, specifically AppLovin MAX and Google AdMob. Proven track record of building and maintaining monetization layers in high-scale utility or casual Android apps. In-depth understanding of programmatic in-app bidding, waterfall configurations, floor pricing, and real-time auction dynamics. Strong understanding of the utility app lifecycle: user flows, retention patterns, and high-converting ad placement timing. Data-driven mindset: ability to connect code architecture directly to ad revenue performance and unit economics.