• Design and evolve the backend architecture that powers our AI-driven acquisition systems. • Build and maintain scalable, well-designed APIs (FastAPI/Python) serving internal tools and external partners. • Ensure systems are modular, extensible, and built for long-term durability. • Own cloud architecture in GCP/AWS/Digital Ocean (multi-environment, production-grade systems). • Lead Infrastructure-as-Code implementation and environment standardization. • Improve system resilience, monitoring, alerting, and failure recovery patterns. • Drive redundancy and risk mitigation across critical services. • Support orchestration between AI agents, business logic, and partner systems. • Build backend services that enable experimentation, optimization, and real-time decisioning. • Collaborate with Data and Product teams to productionize intelligent workflows. • Design clean abstraction layers over partner APIs. • Support real-time booking, routing, and multi-channel engagement. • Build systems that scale as partner complexity grows. • Set architectural standards and raise the bar for backend engineering. • Mentor engineers and influence long-term technical direction. • Identify and eliminate system bottlenecks before they constrain growth.