Mayank Sharma

Software Engineer @Amazon

Vancouver, BC, CA

Leading development of building pre-checkout Payment Actions capabilities in Rufus(Amazon\'s AI shopping Agent) 2. Led regionalization of 12 customer-facing checkout and subscriptions payments features, designing low-latency multi-region infrastructure and data migration for 800M+ records.3. Designed a plugin-based architecture to decompose a 20-year legacy monolith, decoupling payments logic from the rendering layer and enabling independent, zero-downtime deployments across 6 business lines.4. Built and launched an event-driven precompute platform that caches high-latency payments business logic, serving 10+ teams and 150K+ combined QPS, reducing checkout friction by ~3 clicks.5. Re-architected ETL/log pipelines and optimized compute fleets, delivering $2M+ annual infra savings and reducing operational ticket volume by 12%.6. Built a shadow testing framework to test and catch new payments flow migrations and catch critical issues pre-launch. This framework was then used by 15+ teams across Amazon Payments.7. Mentored and onboarded 4+ SDE I engineers and 2 interns in the payments checkout stack; interns converted to full-time offers, and SDE I mentees ramped quickly into high-impact, on-call–owning roles.8. Designed and developed an internal tool that identifies dead code by correlating static analysis with live runtime traffic data; drove self-service adoption across 150+ teams in one month, successfully identifying lines of dead code.