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Backend Engineer

• 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.

Staff Backend Engineer, AI Platform